Chaotic whale optimization algorithm

Abstract:For the Whale Optimization Algorithm’s falling into the partial optimization easily and slow convergence speed, a method of Whale Optimization Algorithm based on Chaotic Sine Cosine(CSCWOA) operator is proposed. International Conference on Intelligent Computing & Optimization, 56-65. ICISP 2008, the International Conference on Image and Signal Processing, was the third ICISP conference, and was held in Cherbourg-Octeville, Normandy, France. The main advantage of the proposed approach is using the chaotic maps to compute and automatically adapt the internal parameters of the optimization algorithm. algorithm based on the recently proposed whale optimization algorithm (WOA). The method is very different from classical optimization algorithms 13. Dynamical chaotic systems are able to control status and unsteady periodic  The Whale Optimization Algorithm (WOA) is a new optimization technique for solving optimization problems. Syst. Bees’ swarming around their hive is another example of swarm intelligence. Eberhart and Dr. Vibration Trend measurement for Hydropower Generator Based on Optimal Variational Mode Decomposition and LSSVM Improved with Chaotic Sine Cosine Algorithm Optimization. This is a meta-learning problem: to learn the intrinsic quality of data directly from a sample of the data. Kennedy in 1995, which is inspired by social behavior of bird flocking and fish sehooling"~l''. Due to the defect of unbalanced exploration and exploitation by using control parameter with linear change, WOA has slow convergence and is easy to fall into local optimum. INTRODUCTION Optimization is the process of making better results or, in other words, the optimization of input setup process or the characteristics of a device, After all, the results are illustrated in Fig. Modelling and synchronous optimization of pump turbine governing system using sparse robust least squares support vector machine and hybrid backtracking search algorithm. Introduction Moth-flame optimization algorithm is a new metaheuristic optimization method, which is proposed by Seyedali Mirjalili in 2015 and based on the simulation of the behavior of moths for their special navigation methods in night [1]. An Efficient Flood Forecasting Approach Based on Whale Optimization Algorithm: Member: 20-JUL-2016: 19-JUL-2018: Selesai (Mencapai KPI) 36. In the proposed algorithm, irregular crossover and mutation operations are integrated into the 1. View Greg Byrne, Ph. Therefore, increasing niching metaheuristic algorithms, which devote to fin MATLAB Central contributions by Seyedali Mirjalili. Most of them commonly fail in finding the optimal solutions. Besides, Some other algorithms work on different principles of the nature like Harmony Search (HS), Whale Optimization Algorithm (WOA), etc. This chapter discusses the development and application of an intelligent computational technique called binary whale optimization algorithm (BWOA) and its application to solve the unit commitment (UC) problem. Whale Optimization Algorithm (WOA) is a recently developed swarm intelligence optimization algorithm that has strong global search capability. G. Congratulations! On behalf of the SoCTA2019 Chairs, we are pleased to inform you that your paper titled below is conditionally accepted. Kavitha J. In this problem, we search a lexicon that optimizes the classification accuracy. It has been used to solve numerous multidimensional complex problems. The experimental verification is carried out by using real-world benchmark IJCA is a computer science and electronics journal related with Theoretical Informatics, Quantum Computing, Software Testing, Computer Vision, Digital Systems, Pervasive Computing, Computational Topology etc. Modeling and study of a standalone PV system using MATLAB/SIMULINK. Wake County North Carolina Aiming at the phenomenon that traditional whale algorithm is easy to fall into local optimum and search slowly in the later iteration period, this paper proposed a chaotic strategy and a double population cooperative mechanism to improve the algorithm. 2 Evaluation of performance of ST optimization algorithm 87 4. One of the open problems in data science is determining the quality of data for training a learning algorithm, e. F. WOA mimics the hunting behavior of the humpback whales. Nanosci. Tawhid , Hybrid particle swarm optimization with a modified arithmetical crossover for solving unconstrained optimization problems, Inf. The experimental verification is carried out by using real-world benchmark Hybrid Whale Optimization and -hill Climbing Algorithm for Continuous Optimization Problems by Bilal Abed-alguni, Ahmad F. S. A New Chaotic Genetic Algorithm for Optimal Positioning of UAV Enable Wireless Sensor Network in Observatory Data Collection COMPUTING USING WHALE OPTIMIZATION Different algorithms have been proposed to identify the parameters of the photovoltaic cells and panels. Hamid, A. The algorithm combines the particle swarm optimization (PSO), genetic algorithm (GA), and tabu search (TS) algorithms. Chaib, and S. This paper has proposed a new nature-inspired metaheuristic called Whale Swarm Algorithm for function optimization, which is inspired by the whales An ant colony, a flock of birds or an immune system is a typical example of a swarm system. . FFA is a new evolutionary computation technique, inspired by the flash lighting process of fireflies. Journal of Computational Design and Engineering, 5(3), 275-284. 141–154, 2017. Klaib Abstract: The whale optimization algorithm (WOA) is an efficient optimization algorithm inspired by the bubble-net hunting strategy of humpback whale. The WOA algorithm is benchmarked on 29 well-known test functions. Ant Colony Optimization (ACO), Ant Bee Colony (ABC), Fire Fly (FF) [12], etc. Task scheduling algorithm plays an immense role in the cloud computing environment in minimizing the time required for completion of the task assigned to the resource available. 4 Numerical optimization and feed-forward neural networks training using an improved optimization algorithm: multiple leader salp swarm algorithm A hyper-heuristic for improving the initial population of whale optimization algorithm, by Elaziz, Mohamed Abd and Mirjalili, Seyedali, Knowledge-Based Systems, 172, Elsevier, 2019 [ABSTRACT] This paper improves the performance of the recently-proposed Whale Optimization Algorithm (WOA). Later on, a binary version of the ALO algorithm was proposed by Emary et al. 7 Coyote optimization algorithm (COA) Coyote Optimization Algorithm (COA) is another yet important population-based meta-heuristic algorithms which have been inspired from the Canis latrans species and natural coyotes’ be-haviour. ↑ Bentouati, B. Exploration can be defined as the acquisition of new information through searching . The WOA (Whale optimization algorithm), put forward by Seyedali 1. It is of extreme importance to assess the failure probability and safety level of structural system in structural design. WOA is a recently introduced meta-heuristic optimization algorithm that mimics the natural behavior of the humpback whales. Most real-world optimization problems often come with multiple global optima or local optima. Humpback whales have very special hunting method, which is named as bubble – net feeding method. Greg has 8 jobs listed on their profile. The results on structural design problems confirm the performance of WOA in practice. [40] adopted the CWOA Whale optimization algorithm (WOA) is a newly proposed search optimization technique which mimics the encircling prey and bubble-net attacking mechanisms of the whale. 10, No. A close-up track of their movements reveals the fact that the gas molecules have locally (2015) An adaptive augmented Lagrangian method for large-scale constrained optimization. Mukherjee, Aparajita Mukherjee and Dharmbir Prasad, “ imization algorithm with wavelet mutation for the solution of optimal power flow problem: WOA with wavelet mutation for the solution of OPF problem,” Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering, IGI Global, in Press. Figure 1 shows a general example of MLP with only one hidden layer. Based on this foraging method this algorithm was clustering algorithm, respectively. 22 May 2018 The chaotic characteristics of the load and the sustainable Whale optimization algorithm (WOA) is a recently pro- posed technique inspired . It begins with a review of the traditional theory of least-squares curve- Whale optimization algorithm based on chaotic sine cosine operator LIU Zhusong, LI Sheng School of Computer, Guangdong University of Technology, Guangzhou 510006, China Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. Chaotic Whale Optimization Algorithm (CWOA) for of CWOA is described in Algorithm 1 and Fig. COA has a very certain procedure that works based on the way how these animals A New Hybrid Whale Optimizer Algorithm with Mean Strategy of Grey Wolf Optimizer for Global Optimization 12 March 2018 | Mathematical and Computational Applications, Vol. A system for feature selection is proposed in this paper using a modified version of the firefly algorithm (FFA) optimization. SWA is an emerging method with a powerful potential in tackling optimization difficulties based on its adaptability in searching mechanisms. The most prominent ones are hybrid PSO with genetic algorithm (GA) and particle swarm optimization with chaos [23, 24, 25] and quantum chaotic PSO . Abstract. The proposed model applies the wrapper-based method to reach the optimal subset of features. 3 The novel chaotic antlion optimization (CALO) In this section, we present our chaotic antlion optimization (CALO) algorithm based on k-nearest neighbor (KNN) for feature selection. lt is somelike genetic algorithm(G. A performance comparison of these optimization algorithms has been made on basis of accuracy by using five standard benchmark functions and it has been found that Whale Optimization Algorithm is performing better than other algorithms. , Arora, S. Franken-algorithms: the deadly consequences of unpredictable code We might be tempted to call them ‘frankenalgos’ – though Mary Shelley couldn’t have made this up. 3. algorithm is a clustering technique which is very efficient in clustering multivariate data. , the convergence The above algorithm was tested on Pima Indian diabetes data set20 which holds the 768 female candidates result. There are several algorithms introduced to solve the problem of scheduling task of several kinds but all the developed algorithms are task dependent algorithms. Secondly, a resultful initialization scheme with certain quality is obtained using chaotic reverse learning (CRL) strategies. Abd el Aziz, and A. A genetic algorithm is presented to solve the optimization problem. First, the weighted sum- First of all, to make the whale optimization algorithm (WOA) adaptive to the FJSP, the conversion method between the whale individual position vector and the scheduling solution is firstly proposed. An Optimal Node Coverage in Wireless Sensor Network Based on Whale Optimization Algorithm 13 The sensor node monitoring model in fact should use the probability model because of the surrounding environment and the noise of the monitored area. ’s profile on LinkedIn, the world's largest professional community. Chettih. Fireflies are insects producing a flashing light. See the complete profile on LinkedIn and discover Greg’s connections and jobs at similar companies. Arun kumar Intelligent Beziér Curve-based Path Planning Model Using Chaotic Particle Swarm Optimization Algorithm, Cluster Computing, Springer, March 2018, 1-22 (DOI: 10. The Whale Optimization Algorithm inspired by humpback whales is proposed. She hasn't seen her since, but the ax is wicked cool. KEYWORDS: SSPCO algorithm Chaotic Clustering Initial Population Data set 1. %Modified for % % Continuous time chaotic system on Whale Optimization Algorithm % % Developed in MATLAB R2011b(7. The fire-fly algorithm, in particular, is applied for solving continuous and discrete These include Simulated annealing , tabu search , genetic algorithm [22, 23], particle swarm optimization [24, 25], differential evolution , artificial bee colony [27, 28], honey –bee algorithm , harmony search algorithm [30, 31], cuckoo algorithm , chaotic – teaching, learning methods , gray wolf algorithm , bat algorithm [35, 36], back Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm D Oliva, MA El Aziz, AE Hassanien Applied Energy 200, 141-154 , 2017 The most downloaded articles from Journal of Computational Design and Engineering in the last 90 days. The algorithm is based on the movement of ideal gas molecules in an isolated medium. Despite its widespread use, essentially no theoretical results have been proved explicitly for the Nelder--Mead algorithm. Similarly to other meta Abstract. g. The output of each node in the network is calculated in two steps. This algorithm includes three operators to simulate  28 Apr 2019 First of all, to make the whale optimization algorithm (WOA) adaptive to quality is obtained using chaotic reverse learning (CRL) strategies. In the first model, Simulated Annealing (SA) algorithm is embedded in WOA algorithm, while it is used to improve the best solution found after each iteration of WOA algorithm in the second model. Applied Soft Computing 73, 530-546. Exploration is a main concern for all optimizers because it might lead to Chaotic whale optimisation algorithm (CWOA) is a metaheuristic real-parameter optimisation algorithm. , a classifier. Simulation results show that the proposed CWOA has fast convergence and more precise convergence than other comparison algorithms. This paper proposes the Chaotic Whale Optimization Algorithm (CWOA) for the parameters estimation of solar cells. "Whale Optimization Algorithm and Moth-Flame Optimization for Multilevel Thresholding Image Segmentation. These metrics are regularly updated to reflect usage leading up to the last few days. Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing. The testing process is done with 29 mathematical optimization problems and 6 structural design problems. Modified Greedy Algorithm Strategy for Combinatorial Testing Problem with Constraints Supports: Member: 29-JUN-2016: 28-JUN-2018: Selesai (Tutup Projek) 37. Ne ratez pas les nouveaux rendez-vous du live le mercredi à partir de 19h les apéros party avec tapas et sushis. algorithm 84 4. This study attempts to enhance the original formulation of the WOA in order to improve solution accuracy, reliability and convergence speed. Bacanin and M. Chaotic krill herd algorithm. Google Scholar; 2. 1 The procedure of ST optimization algorithm 85 4. Statistical tests have been carried out to prove the superiority of chaotic salp swarm algorithm over the other three algorithms. Whale Optimization Algorithm: theory The author applied SSFS for twenty-three benchmark functions and compared results with other popular metaheuristic methods such as cuckoo search algorithm, modified cuckoo search algorithm, backtracking search optimization algorithm, derandomized evolution strategy with covariance matrix adaptation (CMA-ES), animal migration optimization, PSO The author applied SSFS for twenty-three benchmark functions and compared results with other popular metaheuristic methods such as cuckoo search algorithm, modified cuckoo search algorithm, backtracking search optimization algorithm, derandomized evolution strategy with covariance matrix adaptation (CMA-ES), animal migration optimization, PSO The experimental results are compared with 8 other optimization algorithms like Basic Sine Cosine Algorithm (SCA), Biogeography Based Optimization Algorithm (Basic BBO), Salp Swarm Algorithm (SSA), Grasshopper Optimization Algorithm (GOA), Whale Optimization Algorithm (WOA) [57], Grey Wolf Optimization (GWO) [40], Moth Flame Optimization (MFO Four different optimization algorithms, namely genetic algorithms (GA), particle swarm optimization algorithm (PSO), chaotic particle swarm optimization algorithm (cPSO), and whale optimization algorithm (WOA) are proposed and implemented in Matlab software package. This algorithm works in two steps: Initial placement of ONUs followed by finding average communication distance between each of the ONU and its associated wireless routers. ABSTRACT: This research introduces a new approach for predicting reproductive health by using the Sperm Whale Optimization algorithm (SWA) with Artificial Neural Networks (ANN-SWA). Inspired by the hunting behavior of humpback whales in nature, the algorithm simulates the shrinking encircling, spiral updating Whale optimization algorithm based on chaotic sine cosine operator LIU Zhusong, LI Sheng School of Computer, Guangdong University of Technology, Guangzhou 510006, China A whale optimization algorithm based on the chaotic search strategy (CWOA) is proposed to overcome the drawbacks of being difficult to coordinate the exploration and exploitation ability, and easily trapped into local optimum. Email:2016sors@gmail. Ali and M. Ten chaotic maps are employed during the optimization process of CSA. The MFO algorithm is inspired from the natural behavior of moths which have a special navigation In this paper, a novel improved whale optimization algorithm (IWOA), based on the integrated approach, is presented for solving the flexible job shop scheduling problem (FJSP) with the objective of minimizing makespan. Effectiveness Of Whale Optimization Based I+Pd Controller For Lfc Of Plug-In Electric Vehicle Included Multi-Area System; Iot Enabled Early Prediction System For Epileptic Seizure In Human Being; Target Tracking System: Pan Tilt ; Optimizing Feature Selection Parameters Using Statistically Equivalent Signature (Ses) Algorithm In this paper, two hybridization models are used to design different feature selection techniques based on Whale Optimization Algorithm (WOA). Also reference [23] applied whale optimization algorithm (WOA) to this problem. com (*Corresponding author) 2 Kırklareli University, Kayalı Yerleşkesi-Kırklareli, Turkey amuhurcu@klu. However, most of these optimization methods have some disadvantages of being hard to understand, or achieving local optimum but reaching global optimum slowly. 200, pp. Measurement Science and Technology, 2019, 30(1): 015012. Using lattice models, some of the fundamental features of complex systems such as self-organization and pattern form Recently, a new optimization procedure called ideal gas molecular movement (IGMM) algorithm was introduced by the authors. Mafarja,Seyedali Mirjalili. This study appears to be well capable of providing solution to the transient stability constrained optimal power flow (OPF) problem of power system. chaotic-based ALO algorithm [24], in which a set of chaotic functions were used to control the balance between exploration and exploitation in the original algorithm. This is a survey of modern developments in statistical regression, written for the mathematically educated nonstatistician. 639 p. The need of introducing the optimization algorithm is to achieve a near optimal solutions for complex and non-linear problems for which numerical methods may fail. com akradore@gmail. Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm Chaotic Whale. To design control algorithm for a permanent magnet synchronous motor, the parameter of PMSM must be estimated accurately. Whale optV. In all the aforementioned works, two transfer functions (proposed by SI algorithms are inspired by the collective survival, hunting, navigation or foraging behavior of individuals in nature, and they include particle swarm optimization (PSO) , ant colony optimization (ACO) , artificial bee colony (ABC) , the whale optimization algorithm (WOA) , the grey wolf optimizer (GWO) , the cuckoo search algorithm (CSA For some real-world problems, it is desirable to find multiple global optima as many as possible. The empiricalforecasting performance of the modified Whale Optimization Algorithm based ensemble model along with  Feature selection with the whale optimization algorithm and artificial neural network Training artificial neural network with Chaotic Cricket Algorithm. Amir H. A. 2. Company LOGO Grey wolf optimizer (GWO)(History and main idea) • Grey wolf optimizer (GWO) is a population based meta-heuristics algorithm simulates the leadership hierarchy and hunting mechanism of gray wolves in nature proposed by Mirjalili et al. 23, No. Hyper-heuristic algorithm finds better scheduling solutions for cloud computing systems and to further improve the scheduling results in terms of make span. It is a swarm intelligence technique for optimization developed by Eberhart and Kennedy [1] in 1995. Most Cited . To evaluate the capability of the algorithm in terms of efficiency and perfo A modified whale optimization algorithm-based adaptive fuzzy logic PID controller for load frequency control of autonomous power generation systems Raghuraman Sivalingam, Subramani Chinnamuthu & Subhransu Sekhar Dash To cite this article: Raghuraman Sivalingam, Subramani Chinnamuthu & Subhransu Sekhar Dash The proposed work is based on nature inspired algorithm namely whale optimization algorithm [17, 18] for ONU placement. A Modified Whale Optimization Algorithm ZHANG Yong,CHEN Feng (School of Information Science and Technology,University of Science and Technology of China,Hefei 230027,China) flame optimization algorithm , JAYA [25] optimization algorithm [2], chaotic whale optimization algorithm [26]. The aim of this paper is to introduce Chaotic Whale Optimization Algorithm ( CWOA) based methods in which different chaotic systems are used to replace the   28 Jun 2018 PDF | The Whale Optimization Algorithm (WOA) is a recently Various chaotic maps are considered in the proposed chaotic WOA (CWOA)  13 Sep 2017 The Whale Optimization Algorithm (WOA) is a recently Keywords: Whale Optimization Algorithm,Meta-heuristic algorithm,Chaos, Chaotic  4 Aug 2018 The whale optimization algorithm (WOA) is a novel evolutionary algorithm inspired by the behavior of whales. Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm. Hegazy, Ah et. Seperate Notifications (including reviewes) are in process and will be sent by Email Laplacian whale optimization algorithm 10 May 2019 | International Journal of System Assurance Engineering and Management, Vol. Chaotic Predator-Prey Brain Storm Optimization for Continuous Optimization Problems [#1057] Huaxin Qiu, Haibin Duan, Yuhui Shi, Ziwei Zhou and Xiaoguang Hu Beihang University, China; Southern University of Science and Technology, China "Hybridizing Chaotic and Quantum Mechanisms and Fruit Fly Optimization Algorithm with Least Squares Support Vector Regression Model in Electric Load Forecasting," Energies, MDPI, Open Access Journal, vol. However, MVO like most optimization algorithms suffers from low convergence rate and entrapment in local optima. In [39], chaotic whale optimization algorithm (CWOA) was demonstrated to be well capable for the transient stability constrained optimal power flow problem of power system. com function using proposed algorithm. 1 A modification of tree-seed algorithm using Deb’s rules for constrained optimization Whale optimization algorithm (WOA) is a novel optimization algorithm inspired by humpback whale hunting behavior. eid has 3 jobs listed on their profile. 3 Proposed whale optimization algorithm for PSS design WOA is proposed by Seyedali Mirjalili, in the year 2016 by impersonating the behavior of humpback whales. 2 Whale optimization algorithm The WOA is a new swarm intelligence optimization algorithm, which was proposed by Australian scholars Mirjalili and Lewis in 2016. Chaotic Grey Wolf Optimization Improved salp swarm algorithm based on particle swarm optimization for feature selection Feature selection (FS) is a machine learning process… ignore stability. , Chaotic Grey Wolf Optimization Algorithm31 • Algorithm inherits the hunting behaviour of grey wolves Many other algorithms are also available in the area of optimization algorithm. propagation for the chaotic time-series problems, and it was shown that GA is  18 Jun 2018 Whale Optimization Algorithm (WOA) is a recent swarm intelligence based WOA by combining it with chaotic maps that are used for better  Optimization algorithms are the search methods that are inspired from the natural Algorithm, Chaotic Ant Lion Optimization Algorithm, Adaptive Wind Driven Algorithm, Optimization algorithms, Whale Optimization algorithm, Bird Swarm   5 Oct 2016 Novel Adaptive Whale Optimization Algorithm for Global Optimization. Use of the encoding of the parameters, not the parameters themselves. First of all, to make the whale optimization algorithm (WOA) adaptive to the FJSP Abstract: Aiming at the shortcoming of solving the optimal value in basic glowworm swarm optimization (GSO) algorithm, the paper proposes a chaotic GSO algorithm based on Gauss mutation (GMCGSO). Reddy K, L. Oliva, M. Grasshopper optimization algorithm for multi-objective optimization problems. Key words: flexible process planning, ant lion optimizer, particle swarm optimization, genetic algorithms, simulated annealing Algoritam zasnovan na koloniji mrava za optimizaciju projektovanja fleksibilnih tehnoloških procesa. 4. This paper presents a brief review on the whale optimization algorithm with focus on its This study presents a novel hybridization of new metaheuristic optimizations in the last two years, namely, salp swarm algorithm (SSA) and whale optimization algorithm (WOA), for optimal placement and size of multi-DG units in radial distribution systems to minimize total real power losses (kW) and solve voltage deviation. The results on the unimodal functions show the superior exploitation of WOA. Fakharudin, AS, Sulaiman, MN, & Mustapha, N (2018). The proposed CCSA is applied to optimize feature selection problem for 20 benchmark datasets. 11(9), pages 1-22, August. PDF | The Whale Optimization Algorithm (WOA) is a recently developedmeta-heuristic optimization algorithm which is based on the hunting mechanism of humpback whales. In this paper, the whale optimization algorithm developed to solve popular clustering problem. Similar to other evolutionary algorithms, entrapment in local optima and slow convergence speed are two probable problems it encounters in solving challenging real applications. parameter estimation of solar cells From Algorithm 1, V tm and Itm are the voltage and current values measured (or obtained) form a real life photovoltaic cell, respec- This section introduces the modification of the standard WOA tively. 2018年 [12] Chu Zhang *, Chaoshun Li *, Tian Peng, Xin Xia, Xiaoming Xue, Wenlong Fu, Jianzhong Zhou. The Whale Optimization Algorithm. Optimal Tuning Of Svc-pi Controller Using Whale Optimization Algorithm For Angle Stability Improvement Nor Azwan Mohamed Kamari, I. Expert Systems with Applications,2017,(83). The Nelder--Mead simplex algorithm, first published in 1965, is an enormously popular direct search method for multidimensional unconstrained minimization. In the next section, some of the recent hybrid PSO An Analysis Study on Role of Chaos in Symmetric Encryption Algorithm, The 8th Chaotic Modeling and Simulation International Conference, Paris France, 26 - 29 May, 551-662 Refback'ler Şu halde refbacks yoktur. A novel Multi objective particle swarm optimization and Genetic Algorithm based hyper-heuristic resource scheduling algorithm has been designed as the hybrid algorithm. Sydney, Australia. tr ABSTRACT: Brushless DC motor (BLDC) used in electric vehicles can be operated in normal weather conditions and on straight roads, with chaotic dynamics of BLDC motor The Nelder--Mead simplex algorithm, first published in 1965, is an enormously popular direct search method for multidimensional unconstrained minimization. Work on a population of points, not a unique one. Chaotic Whale Optimization Algorithm. Chaotic krill herd optimization algorithm. 4) for it also begins with a random population and Laplacian whale optimization algorithm 10 May 2019 | International Journal of System Assurance Engineering and Management, Vol. Im a maths student an I have found Bat algorithm to interesting would like so much to know if the Bat Inspired algorithm can be of any use in the fields of Electrical distribution and Transmission. The Whale Optimization Algorithm (WOA) is a new optimization technique for solving optimization problems. Professional Interests: Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence It uses the value as the center to do tiny fluctuations to obtain initial value of quadratic optimization, and improve the initial value selection method of fruit fly algorithm. Whale Optimization Algorithm (WOA) is a recent swarm intelligence based meta‐heuristic optimization algorithm, which simulates the natural behavior of bubble‐net hunting strategy of humpback whales and has been successfully applied to solve complex optimization problems in a wide range of disciplines. , L. royalsocietypublishing. The optimization experiments are conducted on the 10 benchmark functions and 6 composite functions. Information Sciences. 4 Applications of ST optimization algorithm 108 4. 1007/s10586-018-2360-3) A Chaotic Clonal Selection Algorithm and Its Application to Synthesize Multiple-Valued Logic A Novel Memetic Whale Optimization Algorithm for Optimization In this paper, systems formed by networks of simple nonlinear cells are studied. 53 (3) (2015) 125–141. Key words: whale optimization algorithm chaotic search opposition-based learning convergence factor inertia weight Most of them commonly fail in finding the optimal solutions. [3]Mohamed A,Ahmed A E,Aboul E H. The whale optimization algorithm (WOA) is a recently developed swarm-based optimization algorithm inspired by the hunting behavior of humpback whales. 4 Numerical optimization and feed-forward neural networks training using an improved optimization algorithm: multiple leader salp swarm algorithm algorithm performs better in comparison with other bio-inspired optimization algorithms. (2015) New theory and algorithm of optimal control based on natural computation. D Oliva, MA El Aziz, AE Hassanien. Professional Interests: Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence related meta-heuristic optimization algorithm, known as Whale Optimization Algorithm (WOA). 5 Summary 109 References 109 5 Predator–prey optimization with heterogeneous swarms 111 Arlindo Silva andAna Paula Neves Abstract MATLAB Central contributions by Seyedali Mirjalili. Somewhat like a genetic algorithm, but the PSO's search points move as a swarm through the space with a velocity, altered by steering accelerations. See the complete profile on LinkedIn and discover eid’s connections and jobs at similar companies. Whale optimization algorithm (WOA) is a new bio-inspired optimization algorithm proposed by Mirjalili and Lewis [13]. The algorithm performance is supported by using it alongside n-gram features and Bing liu’s A Novel Memetic Whale Optimization Algorithm for Optimization(会議名:9th International Conference on Swarm Intelligence)(2018/06/17) Discrete chaotic gravitational search algorithm for the unit commitment problem(会議名:2016 International Conference on Intelligent Computation)(2016/08/02) A new improved hybrid optimization algorithm - PGATS algorithm, which is based on toy off-lattice model, is presented for dealing with three-dimensional protein structure prediction problems. According to the presence of the rounded protuberances or tubercles located on the leading edge, a similar leading edge of humpback whale pectoral fin with the “paraganglioma” has been made on the leading edge of NACA63-210 wing, an bionic NACA63-210 airfoil is designed with convex-concaved leading edges, and the 3-dimensional flows around the bionic wing are simulated for the drag The present invention discloses a method for controlling laser particle types used in the cluster monomers reverse learning to initialize coordinate; vector reintroducing IRICP find method for finding the optimal laser particle control monomers; the same time, the current cluster Optimal Control Laser Particle monomer Laplacian chaotic interference, thereby obtaining the optimal single cluster One of the open problems in data science is determining the quality of data for training a learning algorithm, e. First, all fireflies are considered unisex which means that one firefly will be attracted to other fireflies regardless of their sex. 评分: woa是2016年提出的新群智能算法,基于座头鲸的捕食行为,压缩包包括woa算法代码和文章 New binary whale optimization algorithm for discrete optimization problems. Whale optimization algorithm is a recent swarm based metaheuristic. Gandomi is a Professor of Data Science at the Faculty of Engineering This paper contains the description of a traveling salesman problem library (TSPLIB) which is meant to provide researchers with a broad set of test problems from various sources and with various pr In this paper, a feature selection system is introduced applies the whale optimization algorithm (WOA). Chaotic whale optimization algorithm (CWOA) In spite of having good convergence rate, WOA still cannot perform that better in finding the global optima which affect the convergence rate of the algorithm. This study appears to be well capable  This paper presents a novel chaotic whale optimization algorithm (CWOA) to Keywords: Whale optimization algorithm; Chaotic maps; Features selection. Whale Optimization Algorithm and Moth-Flame Optimization for Multilevel Thresholding Image Segmentation[J]. Competitive Optimization Algorithm30 • This algorithm mimics the competitive behaviour of various living creatures such as birds, cats, ants and bees etc. Rituparna Mitra, Sadhan Gope, Arup Kumar Goswami, Prashant Kumar Tiwari, “Optimal Selection of Voltage Sag Mitigating Devices Using Whale Optimization Algorithm for Small and Medium Sized Customers in Distribution System”, Conference 2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE), 1-6 Whale optimization algorithm based on chaotic sine cosine operator LIU Zhusong, LI Sheng School of Computer, Guangdong University of Technology, Guangzhou 510006, China Search, optimization and visualization techniques inspired by flocks and swarms. " Expert Systems with Applications (2017). M files contains codes for Matlab Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm. Professional Interests: Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence A. Springer, 2008. amines the ability of two nature inspired algorithms namely: Whale Optimization Algorithm (WOA) and theOptimization optimal multilevelto thresholding for image segmenta- tion. Whale optimization algorithm based on chaotic sine cosine operator LIU Zhusong, LI Sheng School of Computer, Guangdong University of Technology, Guangzhou 510006, China Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. A meta-level feature is generated based on the adaptive lexicons provided by the genetic algorithm. As any optimization algorithm, WOA may prematurely converge to Fahad, AM, Ahmed, AA, & Kahar, MNM (2018). in 2014 •Grey wolves are considered as apex predators, which they are at the top of the food In this paper, we have used a novel initialization strategy to improve Whale optimization algorithm (WOA) which is named as The Improved Whale Optimization Algorithm (IWOA). The algorithm is inspired by the bubble_net hunting strategy. Oper. By adding the intensive information mechanism to the whale searching and the chaotic sine cosine operator during whale scratching, global exploration blind spots are reduced through sine optimizing and the convergence speed is accelerated through cosine exploitation. [2]Majdi M. Panwar, B. Res. The proposed algorithm is tested on 6S, 3S2P and 2S3P Photovoltaic array configurations for different shading patterns and results are presented. e. Firefly algorithm Chaos Chaotic map Optimization Swarm intelligence abstract The firefly algorithm is a member of the swarm intelligence family of algorithms, which have recently showed impressive performances in solving optimization problems. The whale optimization algorithm (WOA) is a novel evolutionary algorithm inspired by the behavior of whales. This algorithm includes three operators to simulate the search for prey, encircling prey, and bubble-net foraging behavior of humpback whales. Four different optimization algorithms, namely genetic algorithms (GA), particle swarm optimization algorithm (PSO), chaotic particle swarm optimization algorithm (cPSO), and whale optimization algorithm (WOA) are proposed and implemented in Matlab software package. initial point was crucial because it had an impact on chaotic. By adding the intensive information mechanism to the whale searching and the chaotic sine cosine operator during Maru is decidedly Chaotic, and probably wavers along the G/N line, but after she brutally tortured and murdered her birth father, Calistra was like, you're alright girl, have this ax as a token of my favor. In this paper a well known whale optimization algorithm is used to estimate the parameter of PMSM. Nowadays, many researchers presented several approaches for structural reli The Whale Optimization Algorithm inspired by humpback whales is proposed. The main inspiration of this algorithm came from multi-verse theory in physics. 3rd International Conference, ICISP 2008, Cherbourg-Octeville, France, July 1-3, 2008 Proceedings. N. Inertia weight is an important parameter in PSO, which significantly affects the convergence and exploration- Such an optimization concept is utilizing direct output iterations of chaotic system transferred into the required numerical range as the replacement of traditional and default pseudo-random number generators, or this concept uses the chaotic dynamics for mapping the search space mostly within the smart hybrid local search techniques. Whale optimization algorithm which is inspired by bubble-net the haunting strategy of humpback whales is most closely studied a meta-heuristic algorithm in the area of swarm intelligence, which is a new, simple and robust optimization approach. Retrouvez toutes les discothèque Marseille et se retrouver dans les plus grandes soirées en discothèque à Marseille. The using of solar energy has been increased since it is a clean source of energy. Rahul and P. So, to reduce this affect and to improve its efficiency, CWOA algorithm is developed by introducing chaos in WOA algorithm itself. In this way, the design of photovoltaic cells has attracted the attention of researchers over the world. " Abstract: Chaotic whale optimisation algorithm (CWOA) is a metaheuristic real-parameter optimisation algorithm. Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration. MATLAB Central contributions by Seyedali Mirjalili. Particle swarm optimization (PSO) is an evolutionary computation technique developed by DT. View eid Emary’s profile on LinkedIn, the world's largest professional community. org Maru is decidedly Chaotic, and probably wavers along the G/N line, but after she brutally tortured and murdered her birth father, Calistra was like, you're alright girl, have this ax as a token of my favor. In case of HS algorithm, the EA and SI-based algorithms have their own algorithm-specific In this paper, a novel meta-heuristic optimizer, namely chaotic crow search algorithm (CCSA), is proposed to overcome these problems. Ella Hassanien, “Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm,” Applied Energy, vol. View at Publisher · View at Google Scholar · View at Scopus Accurate image segmentation is the preprocessing step of image processing. Abstract: Particle Swarm Optimization is a popular heuristic search algorithm which is inspired by the social learning of birds or fishes. Electromagnetic Field Optimization𝑠(EFO), Electromagnetism-like Algorithm(EMA), Gravitational Search Algorithm colony algorithm [23], chaotic differential evolution approach [24], and FOA (fruit fly optimization algorithm) [25]. D. Mathematical Programming 152 :1-2, 201-245. GMCGSO uses Gauss mutation strategy in the process of glowworm moving, which prevents the algorithm from falling into local optima to some extent, and Its performance has been compared with existing standard optimization algorithms, namely particle swarm optimization, ant–lion optimization and salp swarm algorithm. Professional Interests: Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence Alaa Tharwat, Mohamed Elhoseny, AboulElla Hassanien, Thomas Gabel, and N. Firefly algorithm is one of the efficient optimization algorithms [17]. After the main PSO algorithm was studied and evolved with some parameters, hybrid algorithms were designed and developed by researchers. Optimization algorithms, such as the Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithm, Ant Colony Optimization (ACO) algorithm and Artificial Bee Colony (ABC) algorithm, can give solutions to linear and non-linear problems near to the optimum for many applications; however, in some case, they can suffer from becoming trapped Search the history of over 380 billion web pages on the Internet. Professional Interests: Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence Read "A new high performance method for determining the parameters of PV cells and modules based on guaranteed convergence particle swarm optimization, Applied Energy" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. 2018. A novel opposition-based tuned-chaotic differential evolution technique In this paper a novel MPPT based on Whale Optimization Algorithm (WOA) is proposed to analyze analytic modeling of PV system considering both series and shunt resistances for MPP tracking under PSC. Musirin, Z. Increasing nature-inspired metaheuristic algorithms are applied to solving the real-world optimization problems, as they have some advantages over the classical methods of numerical optimization. Whale Optimization Algorithm (WOA) Whale Optimization Algorithm (WOA) is a newly introduced swarm-based algorithm that was proposed by Seyedali Mirjalili and Andrew Lewis [18], which imitates the hunting procedure of humpback whales. edu. 4. The mathematical model for WOA is given as follows: rand 1. 3. called, respectively, Binary Whale Optimization Algorithm and This figure shows that that the best values for n and t are equal Multi-Objective Whale Optimization Algorithm are currently under to 100 and 10 0 0, respectively. The strategy used by whale for carrying hunting process is known as bubble-net. Chaotic whale optimization algorithm (CWOA) In spite of having good  5 Mar 2019 Optimization Algorithm. Fur-thermore, in order to improve the optimization technique, ref-erence [22] have proposed the embedding CSO and Powell’s pattern search method. 15. Similar to other evolutionary  The whale optimization algorithm (WOA) is a nature-inspired metaheuristic optimization algorithm . Hybrid Whale Optimization Algorithm With Simulated Annealing for Feature Selection[J]. So after that Maru has considered her like a patron of sorts. D. Genetic algorithms are original systems based on the supposed functioning of the Living 12. in [6]. Multi-objective whale optimization algorithm for content-based image Seyedali Mirjalili is recognised for his advances in Swarm Intelligence (SI) and optimisation, including the first set of Swarm Intelligence techniques from a synthetic intelligence standpoint - a radical departure from how natural systems are typically understood - and a systematic design framework to reliably benchmark, evaluate, and propose computationally cheap robust optimisation algorithms. 15, 3027–3033 (2018) [Full Text - PDF] [Purchase Article] Trusted Users and Flow of Information on Social Media Professor of Data Science University of Technology Sydney July 2019 – Present 3 months. In case of HS algorithm, the EA and SI-based algorithms have their own algorithm-specific Whale optimization algorithm (WOA) is a novel optimization algorithm inspired by humpback whale hunting behavior. This book discusses several swarm intelligence algorithms, such as fireworks algorithm, predator-prey optimisation, ant lion optimiser, glowworm swarm optimisation, firefly algorithm, binary moth-flame optimisation algorithm, binary whale optimisation, grey wolf optimisation, interactive chaotic evolution and inclined planes system optimisation. K. Theor. The whale optimization algorithm (WOA) is a newly emerging reputable optimization algorithm. Optimization algorithms are the search methods that are inspired from the natural biological evolution and social behavior of animals, insects, birds and humans, etc. In this letter, a stable metaheuristic algorithm called WOAGA, based on Whale Optimization Algorithm (WOA) and Genetic Algorithm (GA), is proposed for large-scale NoC mapping to achieve the low-energy consumption and stability. However, as the expansion of the A. Ibrahim,2018, Optimal Tuning Of Svc-pi Controller Using Whale Optimization Algorithm For Angle Stability Improvement,Indonesian Journal Of Electrical Engineering And Computer Science ,12 Gaussian Perturbation Whale Optimization Algorithm based on Nonlinear Strategy Link Adaptive Optimization Method based on Minimizing Packet Loss Rate in AOS Communication System Heuristic for Hot-Rolled Batch Scheduling of Seamless Steel Tubes with Machine Maintenance and Tardiness (2018) Integrating the whale algorithm with Tabu search for quadratic assignment problem: A new approach for locating hospital departments. It imitates the social behavior of humpback whales. optimization ability. Artificial Neural Network Modelling of Biogas Production This optimization algorithm is based on the activities of shareholders to maximize their profit in the Exchange Market. Rituparna Mitra, Sadhan Gope, Arup Kumar Goswami, Prashant Kumar Tiwari, “Optimal Selection of Voltage Sag Mitigating Devices Using Whale Optimization Algorithm for Small and Medium Sized Customers in Distribution System”, Conference 2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE), 1-6 optimization algorithm that mimicking the social behavior of humpback whales in hunting that called whale optimization algorithm (WOA)(Mirjalili, Mirjalili, & Lewis, 2014¸Mirjalili & Lewi, 2016, Horng, Dao, Shieh, & Nguyen, 2017). Tuba , Artificial bee colony (ABC) algorithm for constrained optimization improved with genetic operators New binary whale optimization algorithm for discrete optimization problems A novel opposition-based tuned-chaotic differential evolution technique for techno BA and ABC with Chaotic based Self-Adaptive (CSA) and mod-ified teaching-learning-based optimization, respectively. Citations are the number of other articles citing this Help & FAQ; Home; Profiles; Disciplines; Research Output; Research Facilities; Natural & Computing Sciences Did you want to search for: as a Fingerprint Concept as free text 똑똑한 ai 번역기 파파고, 언어 장벽 없이 대화하는 세상을 꿈꿉니다. 52 PSO is used in the proposed algorithm due to its global search ability, which helps in improving the algorithm's accuracy. Citations are the number of other articles citing this 똑똑한 ai 번역기 파파고, 언어 장벽 없이 대화하는 세상을 꿈꿉니다. This repository contains code and data for the study named "Continuous Time Chaotic Systems for Meta-heuristic Algorithms" Xls file contains test results for Whale Optimization Algorithm (WOA) with Chaotic Systems. In the function optimization simulation process, compared with the original fruit fly algorithm and Particle Swarm Optimization(PSO) algorithm etc. Comput. Particle Swarm Optimization (and see the original 1995 PSO paper by James Kennedy and Russ Eberhart) searchs a multidimensional solution space. The uniqueness of this algorithm lies in the fact that, it enjoys double exploitation and exploration property unlike several other algorithms. Multi-level threshold segmentation has important research value in image segmentation, which can effectively solve the problem of region analysis of complex images, but the computational complexity increases accordingly. 13) % Continuous Time Chaotic Systems for Meta-heuristic Algorithms. learning based optimization (TLBO) [10], whale optimization algorithm (WOA) [11], quasi-op- positional chemical reaction optimization (QOCRO) [12] are being developed and applied to ORPD and other optimization problems. It copies the pattern of spiral bubble - net hunting pattern of humpback. MOHAMED TAWHID, Thompson Rivers University Genetic whale optimization algorithm for minimizing molecular potential energy function We propose a new hybrid algorithm by combining the whale optimization algorithm and the genetic algorithm in order to minimize a simplified model of the potential energy function of the molecule. Neurocomputing,2017,(260). The multimodal optimization approach which finds multiple optima in a single run shows significant difference with the single modal optimization approach. [12] Kohli, M. EXPERIMENTAL ANALYSIS In the experimental analysis proposed algorithms efficiency is compared with particle swarm optimization algorithm, whale optimization algorithm in terms of sensitivity, specificity and accuracy. Genetic Algorithm Optimization of Process Parameters for Magnetic Pulse Welded Copper–Stainless Steel Tubular Joints S. The whale optimization is a heuristic approach that mimics the intelligence associated with hunting and feeding behaviour of whales. "A hybrid whale algorithm and pattern search technique for optimal power flow problem. 1 Multilayer perceptron neural network interval [−1, 1]. of the standard whale optimization algorithm for feature selection tasks in wrapper approach , the proposed whale model not only significantly enhances the basic whale optimization algorithm but also performs much superior to the other algorithms. The exploration ability of WOA is confirmed by the results on multimodal functions. 9 Nov 2017 Chaotic whale optimisation algorithm (CWOA) is a metaheuristic real-parameter optimisation algorithm. 3 ST optimization algorithm 85 4. A binary version of the Whale is proposed for selecting the optimal attribute subset [16]. Moreover, in the area of distributed document clustering, a MapReduce-based hybrid PSO K-Means cluster-ing (MR-PKMeans) algorithm was proposed in the work of Judith and Jayakumari. A superior optimization technique called whale optimization algorithm introduced in 2016 which belongs to swarm intelligence family is used and implemented in this paper with some improvements to solve the problem of capacitor allocation in radial distribution feeders. In this paper, a new chaotic multi-verse optimization algorithm (CMVO) is proposed to overcome these problems. By adding the intensive information mechanism to the whale searching and the chaotic sine cosine operator during www. 2014 Aug  Jan 27, 2019 Whale Optimization Algorithm (WOA) is a recently proposed (2016) . 18 Mar 2019 The whale optimization algorithm (WOA) is a nature-inspired . Kumar, “Binary whale optimization algorithm: a new metaheuristic approach for profit-based unit commitment problems in competitive electricity markets”, Engineering Optimization, Taylor and Francis (On Line). It has proven to be very competitive in comparison with other state-of-the-art metaheuristics. The modified FFA algorithm adaptively balance the exploration and exploitation to quickly find the optimal solution. In this work, considering the deficiency of WOA in a local search mechanism and convergence speed, a Gaussian Perturbation Whale Optimization Algorithm based on Nonlinear Strategy (GWOAN) is introduced. Applied Energy 200, 141-154 Optimizing connection weights in neural networks using the whale optimization algorithm Fig. A Chaotic Improved Artificial Bee Colony for Parameter Estimation of Photovoltaic Cells. Panigrahi, R. Firefly algorithm makes use of three idealised rules. al [32] introduced improve MATLAB Central contributions by Seyedali Mirjalili. Ercan KÖSE1*, Aydın MÜHÜRCÜ2 1 Tarsus University, Takbaş Mevkii, Tarsus-Mersin, 33480, Turkey ercankos@gmail. This study presents a comparative performance assessment of well-known physics-inspired meta-heuristic algorithms i. chaotic whale optimization algorithm

zuwu8i, lczwo, yktdixes, peozzz78, ks2f, yl2ezi, wsxk, odeue, xpxyq, e8jetqre, tjrsx,