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Continuous Time Chaotic Systems for Whale Optimization AlgorithmTANYILDIZI, E. , CIGAL, T.
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artificial intelligence, chaos, computational intelligence, continuous time systems, whale optimization algorithm
optimization(23), algorithm(12), chaos(11), chaotic(9), algorithms(9), systems(6), evolutionary(6), swarm(5), computation(5), applied(5)
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About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 49 - 56
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04006
Web of Science Accession Number: 000451843400006
SCOPUS ID: 85058817066
Discrete time chaotic systems are often used instead of random number arrays in order to improve the convergence properties of optimization algorithms and prevent them to get stuck on local solutions. In this study, discrete-time and continuous-time chaotic systems are employed to improve the performance of Whale Optimization Algorithm (WOA), for the first time. It is suggested to use continuous-time chaotic systems instead of discrete-time systems in some cases. Using 23 benchmark functions and two engineering problems, one-dimensional chaotic maps and continuous time chaotic systems were analyzed on WOA. The results show that especially in multidimensional problems the use of the continuous time chaotic system can improve the performance of the algorithm and provide faster convergence.
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Digital Object Identifier: 10.1016/j.scs.2021.102858 [CrossRef]
 Embedded chaotic whale survival algorithm for filter–wrapper feature selection, Guha, Ritam, Ghosh, Manosij, Mutsuddi, Shyok, Sarkar, Ram, Mirjalili, Seyedali, Soft Computing, ISSN 1432-7643, Issue 17, Volume 24, 2020.
Digital Object Identifier: 10.1007/s00500-020-05183-1 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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