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Iranian Journal of Numerical Analysis and Optimization، جلد ۱۲، شماره ۲، صفحات ۳۹۷-۴۲۵
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عنوان انگلیسی Crocodile Hunting Strategy (CHS): A comparative study using benchmark functions
چکیده انگلیسی مقاله The crocodiles have a good strategy for hunting the fishes in nature. These creatures are divided into two groups of chasers and ambushers when hunt-ing. The chasers direct prey toward shallow water with a powerful splash of its tail without catching them, and the ambushers wait in the shallow and try to snatch the fishes. Such behavior inspires the development of a new population-based optimization algorithm called the crocodile hunting strategy (CHS). In order to verify the performance of the CHS, several classical benchmark functions and four constrained engineering design op-timization problems are used. In the classical benchmark function, the comparisons are performed using ant colony optimization, differential evo-lution, genetic algorithm, and particle swarm optimization. Constrained engineering design problems are compared with firefly algorithm, harmony search, shuffled frog-leaping algorithm, and teaching-learning-based opti-mization. The results of the comparison show that different operators de-signed in the CHS algorithm lead to fast algorithm convergence and show better results compared to other algorithms.
کلیدواژه‌های انگلیسی مقاله Crocodile hunting strategy, Optimization algorithms, Numer-ical optimization, Classical benchmark functions, Constrained engineering design problem
نویسندگان مقاله A. R. Balavand |
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University.

نشانی اینترنتی https://ijnao.um.ac.ir/article_41755_696983e0bb281129d8e88cc0c33b9383.pdf
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