A novel hybrid swarm intelligence algorithm for solving TSP and desired-path-based online obstacle avoidance strategy for AUV

Aiming at the problem that Ant Colony Optimization (ACO) is subject primarily to the parameters, we propose a hybrid algorithm SOA-ACO-2Opt to optimize the ACO parameter combination through Seagull Optimization Algorithm (SOA) to strengthen ACO’s search capability. To obtain a uniform initial distri...

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Veröffentlicht in:	Robotics and autonomous systems Jg. 177; S. 104678
Hauptverfasser:	Zhang, Yixiao, Shen, Yue, Wang, Qi, Song, Chao, Dai, Ning, He, Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2024
Schlagworte:	Ant colony optimization Obstacle avoidance Parameters optimization Seagull optimization algorithm Traveling salesman problem Seagull optimization algorithm Ant colony optimization Traveling salesman problem Parameters optimization Obstacle avoidance
ISSN:	0921-8890, 1872-793X
Online-Zugang:	Volltext
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