Wenchuan Wang1,*, Weican Tian1, Kwok-wing Chau2, Yiming Xue1, Lei Xu3, Hongfei Zang1
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1603-1642, 2023, DOI:10.32604/cmes.2023.026231
Abstract The Bald Eagle Search algorithm (BES) is an emerging meta-heuristic algorithm. The algorithm simulates the
hunting behavior of eagles, and obtains an optimal solution through three stages, namely selection stage, search
stage and swooping stage. However, BES tends to drop-in local optimization and the maximum value of search
space needs to be improved. To fill this research gap, we propose an improved bald eagle algorithm (CABES) that
integrates Cauchy mutation and adaptive optimization to improve the performance of BES from local optima.
Firstly, CABES introduces the Cauchy mutation strategy to adjust the step size of the selection stage, to select… More >
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