多策略改进的蛇优化算法及其应用

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关键词：蛇优化算法（SO）；基于余弦变换的混沌系统；性别差异搜索；准反射学习；无人机三维路径规划中图分类号：TP301.6文献标志码：A 文章编号：1001-3695（2026）04-014-1076-13doi：10.19734/j.issn.1001-3695.2025.08.0283

Multi-strategy improved snake optimization algorithm and its application

ChaiYan，LiYulong† （CollegeofScience，Liaoning Technical University，Fuxin Liaoning123ooO，China）

Abstract：Inorder toimprove theoptimization speedandconvergence accuracyof thesnakeoptimizer（SO），this paper proposedamulti-strategyimprovedsnakeoptimizer（MSSO）.Firstly，intheinitializationstage，thispaperusedacosinetransform-basedchaotic systemtoinitializethepopulation toenhancethepopulationdiversityandgobalsearchcapability.Secondly，intheexplorationstageof thealgorith，itimplementedadual-modesearchstrategybasedongenderdiferencesacording totheforaging habitsof snake populations，which improvedthesolution accuracyandspeedof thealgorithm.Finall，inthe laterstageofalgorithmiteration，iintroducedachaoticquasi-reflectionlearningstrategytostrengthenhealgorith’sability toescapelocaloptima whilepreserving elite individuals.Theanalysisofcomplexity，convergence，andbalance haddemonstratedthe algorithm’sfeasibility.Numericalexperiments onbenchmark functions，CEC2O2Ocomplextestfunctions，andthe UAV3D path planning problem hadcomprehensivelyvalidate thatthe MSSOalgorithm posesessuperioroptimizationaccuracy，convergence speed，robustness，and practical application potential.

Keywords：snakeoptimizationalgorithm（SO）；cosine transform-based chaoticsystem；gender-based search；quasi-reflectionlearning；three-dimensional path planningofunmanned aerial vehicles

0 引言

蛇优化算法是由Hashim等人[1]于2022年提出的一种元启发式智能算法，它具有搜索能力强、灵活性高和适应范围广等特点，相比于其他的智能算法，SO算法在参数设置上更为直观、简便，易于实现。（剩余22259字）