Improved Mayfly Optimization Algorithm with Cooperation

Jia-Hao Zhang, Zheng-Ming Gao, Suruo Li, Juan Zhao
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Abstract

The mayfly optimization algorithm (MA) is a stochastic, population-based optimization technique that can be applied to a wide range of problems. To improve the optimization performance of mayfly optimization algorithm, a variation on the mayfly algorithm, called the improved mayfly optimization algorithm with cooperation, or MAC, was proposed in this paper, employing cooperative behavior. This is achieved by using multiple male populations to optimize different components of the solution vector cooperatively. Application of the MAC on several benchmark optimization problems shows a marked improvement in performance over the original algorithm.
基于合作的改进蜉蝣优化算法
蜉蝣优化算法(MA)是一种基于种群的随机优化技术,可应用于广泛的问题。为了提高蜉蝣优化算法的优化性能,本文提出了一种基于合作行为的改进蜉蝣优化算法(MAC),即基于合作行为的改进蜉蝣优化算法。这是通过使用多个雄性种群来协同优化解向量的不同组成部分来实现的。在几个基准优化问题上的应用表明,与原始算法相比,该算法的性能有了明显的提高。
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