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March 28, 2026Journal of Computational Design and EngineeringOpen Access

Comparative Analysis and Evaluation: A Case Study for Multiple Chaotic Mapping Snake Optimizer

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Authors

YZYongquan ZhouGuangxi UniversityQLQingrui LiGuangxi UniversityGZGuo ZhouChina University of Political Science and Law

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Overview

Comparative analysis shows performance variation of chaotic maps in bio-inspired optimization algorithms, suggesting further research pathways.

Key Points

  • The aim is to compare the effectiveness of various chaotic maps within the Snake Optimizer algorithm in optimization tasks.
  • Review of twelve classical chaotic maps
  • Summary of integration strategies for chaotic maps in bio-inspired optimization
  • Simulation experiments on CEC 2022 benchmark test functions and engineering design problems
  • The Tent chaotic map consistently improves performance across various problems.
  • Other chaotic maps show varying effectiveness, dependent on type and specific problem characteristics.
  • A detailed comparative analysis of the chaotic Snake Optimizer reveals advantages and limitations.

Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/69c772d98bbfbc51511e345ahttps://doi.org/10.1093/jcde/qwag033
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