An Integrated External Archive Local Disturbance Mechanism for Multi-Objective Snake Optimizer  

作　　者：Leifu GAO Zheng LIU 

机构地区：[1]Institute for Optimization and Decision Analytics,Liaoning Technical University,Fuxin 123000,China

出　　处：《Chinese Journal of Electronics》2024年第4期989-996,共8页电子学报（英文版）

基　　金：National Natural Science Foundation of China (Grant No. 12201275);Planning Fund of the Ministry of Education, Humanities and Social Sciences (Grant No. 21YJCZH204)。

摘　　要：It is an interesting research direction to develop new multi-objective optimization algorithms based on meta-heuristics. Both the convergence accuracy and population diversity of existing methods are not satisfactory.This paper proposes an integrated external archive local disturbance mechanism for multi-objective snake optimizer(IMOSO) to overcome the above shortcomings. There are two improved strategies. The adaptive mating between subpopulations strategy introduces the special mating behavior of snakes with multiple husbands and wives into the original snake optimizer. Some positions are updated according to the dominated relationships between the newly created individuals and the original individuals. The external archive local disturbance mechanism is used to re-search partial non-inferior solutions with poor diversities. The perturbed solutions are non-dominated sorting with the generated solutions by the next iteration to update the next external archive. The main purpose of this mechanism is to make full use of the non-inferior solution information to better guide the population evolution. The comparison results of the IMOSO and 7 state-of-the-art algorithms on WFG benchmark functions show that IMOSO has better convergence and population diversity.

关 键 词：Multi-objective optimization Snake optimizer Adaptive mating between subpopulations strategy External archive local disturbance mechanism 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] O224[自动化与计算机技术—控制科学与工程]