MCOA: A Multistrategy Collaborative Enhanced Crayfish Optimization Algorithm for Engineering Design and UAV Path Planning

The crayfish optimization algorithm (COA) is a recent bionic optimization technique that mimics the summer sheltering, foraging, and competitive behaviors of crayfish. Although COA has outperformed some classical metaheuristic (MH) algorithms in preliminary studies, it still manifests the shortcomin...

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Veröffentlicht in:	International journal of intelligent systems Jg. 2025; H. 1
Hauptverfasser:	Xiao, Yaning, Cui, Hao, Khurma, Ruba Abu, Hussien, Abdelazim G., Castillo, Pedro A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York John Wiley & Sons, Inc 01.01.2025
Schlagworte:	Accuracy Algorithms Bionics Convergence Design Design engineering Design optimization Exploitation Foraging behavior Genetic algorithms Heuristic methods Literature reviews Mathematical models Optimization algorithms Optimization techniques Path planning Performance evaluation Search methods Source code Specular reflection Task complexity Unmanned aerial vehicles L & eacute crayfish optimization algorithm engineering optimization specular reflection learning vertical crossover operator expanded exploration strategy vy flight
ISSN:	0884-8173, 1098-111X, 1098-111X
Online-Zugang:	Volltext
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