Multi-strategy ensemble wind driven optimization algorithm for robot path planning

In this study, a multi-strategy ensemble wind driven optimization (MEWDO) algorithm is proposed and combined with cubic spline interpolation to solve path planning challenges for single and multiple robots. The proposed MEWDO uses a Chebyshev map to initialize air particle populations and increase p...

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Vydané v:	Mathematics and computers in simulation Ročník 231; s. 144 - 159
Hlavní autori:	Zhang, Chao, Yang, Yi, Chen, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2025
Predmet:	Chebyshev map Cubic spline interpolation F-distribution Robot path planning Segmented learning Wind driven optimization Robot path planning Segmented learning Chebyshev map Wind driven optimization Cubic spline interpolation F-distribution
ISSN:	0378-4754
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