Effective arithmetic optimization algorithm with probabilistic search strategy for function optimization problems

Lu Peng , Chaohao Sun , Wenli Wu
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引用次数: 9

Abstract

This paper proposes an enhanced arithmetic optimization algorithm (AOA) called PSAOA that incorporates the proposed probabilistic search strategy to increase the searching quality of the original AOA. Furthermore, an adjustable parameter is also developed to balance the exploration and exploitation operations. In addition, a jump mechanism is included in the PSAOA to assist individuals in jumping out of local optima. Using 29 classical benchmark functions, the proposed PSAOA is extensively tested. Compared to the AOA and other well-known methods, the experiments demonstrated that the proposed PSAOA beats existing comparison algorithms on the majority of the test functions.

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基于概率搜索策略的函数优化问题的有效算法
本文提出了一种改进的算法优化算法PSAOA,该算法结合了本文提出的概率搜索策略,提高了原算法的搜索质量。此外,还开发了一种可调参数,以平衡勘探和开采作业。此外,PSAOA中还包含一个跳跃机制,以帮助个体跳出局部最优。使用29个经典基准函数对所提出的PSAOA进行了广泛的测试。实验结果表明,本文提出的PSAOA方法在大多数测试功能上优于现有的比较算法。
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