An Adaptive Levy Flight Chicken Swarm Optimization with Differential Evolution for Function Optimization Problem
Date
Authors
Liu, WJ
Zain, AM
Bin Talib, MS
Ma, SJ
Supervisor
Item type
Journal Article
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
The Science and Information Organization
Abstract
This study proposes an improved swarm algorithm, Adaptive Levy Flight Chicken Swarm Optimization with Differential Evolution (ALCSODE), to overcome the low convergence accuracy and imbalance between exploration and exploitation in the original CSO algorithm. The method incorporates adaptive perturbation based on individual differences and a differential evolution mechanism into the rooster update process. An elitism preservation strategy is also applied to enhance population stability and information sharing. The algorithm is evaluated on 24 benchmark functions, including unimodal, high-dimensional multimodal, and CEC2022 functions. Performance metrics such as search trajectories and convergence curves are used to assess its effectiveness. Experimental results show that ALCSODE achieves a better exploration–exploitation trade-off and shows statistically superior performance over seven classical algorithms, confirming its potential as an effective tool for solving complex optimization problems.Description
Keywords
46 Information and Computing Sciences, 4602 Artificial Intelligence, 0803 Computer Software, 1005 Communications Technologies, 46 Information and computing sciences, Chicken swarm optimization, levy flight, differential evolution algorithm, adaptive adjustment strategy, function optimization
Source
International Journal of Advanced Computer Science and Applications, ISSN: 2158-107X (Print); 2156-5570 (Online), The Science and Information Organization, 16(8), 764-783. doi: 10.14569/IJACSA.2025.0160875
Rights statement
This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.