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Whale swarm algorithm with the mechanism of identifying and escaping from extreme point for multimodal function optimization
[article]
2018
arXiv
pre-print
Most real-world optimization problems often come with multiple global optima or local optima. Therefore, increasing niching metaheuristic algorithms, which devote to finding multiple optima in a single run, are developed to solve these multimodal optimization problems. However, there are two difficulties urgently to be solved for most existing niching metaheuristic algorithms: how to set the optimal values of niching parameters for different optimization problems, and how to jump out of the
arXiv:1804.02851v1
fatcat:xmcybzvbozarbn7tobxf7zvkkq