An Improved Crayfish Optimization Algorithm: Enhanced Search Efficiency and Application to UAV Path Planning

The resolution of the unmanned aerial vehicle (UAV) path-planning problem frequently leverages optimization algorithms as a foundational approach. Among these, the recently proposed crayfish optimization algorithm (COA) has garnered significant attention as a promising and noteworthy alternative. Ne...

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Veröffentlicht in:	Symmetry (Basel) Jg. 17; H. 3; S. 356
Hauptverfasser:	Huang, Qinyuan, Sun, Yuqi, Kang, Chengyang, Fan, Chen, Liang, Xiuchen, Sun, Fei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2025
Schlagworte:	Algorithms Competition Convergence Drone aircraft Effectiveness Efficiency Entrapment Foraging behavior Heuristic Mathematical optimization Nonlinear control Obstacle avoidance Optimization Optimization algorithms Path planning Performance evaluation Problem solving Searching Strategy Temperature Unmanned aerial vehicles
ISSN:	2073-8994, 2073-8994
Online-Zugang:	Volltext
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