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

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

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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 gener-ated 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 re-sults of the IMOSO and 7 state-of-the-art algorithms on WFG benchmark functions show that IMOSO has better convergence and population diversity.

Multi-objective optimizationSnake optimizerAdaptive mating between subpopulations strategyExternal archive local disturbance mechanism

Leifu GAO、Zheng LIU

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Institute for Optimization and Decision Analytics,Liaoning Technical University,Fuxin 123000,China

National Natural Science Foundation of ChinaPlanning Fund of the Ministry of Education,Humanities and Social Sciences

1220127521YJCZH204

2024

10.23919/cje.2023.00.023

电子学报(英文)

电子学报(英文)

CSTPCDEI
ISSN：1022-4653
年,卷(期)：2024.33(4)
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