A mutation operator self-adaptive differential evolution particle swarm optimization algorithm for USV navigation

To keep the global search capability and robustness for unmanned surface vessel (USV) path planning, an improved differential evolution particle swarm optimization algorithm (DePSO) is proposed in this paper. In the optimization process, approach to optimal value in particle swarm optimization algor...

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Vydáno v:	Frontiers in neurorobotics Ročník 16; s. 1076455
Hlavní autoři:	Gong, Yuehong, Zhang, Shaojun, Luo, Min, Ma, Sainan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Research Foundation 06.12.2022 Frontiers Media S.A
Témata:	Algorithms differential evolution algorithm Genetic algorithms Hybridization Mathematical models Mutation Neuroscience Optimization algorithms particle swarm optimization Planning scaling factor Traveling salesman problem Unmanned aerial vehicles unmanned surface vessel path planning Water area mutation differential evolution algorithm particle swarm optimization scaling factor hybridization unmanned surface vessel path planning
ISSN:	1662-5218, 1662-5218
On-line přístup:	Získat plný text
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