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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Veröffentlicht in:	Mathematics and computers in simulation Jg. 231; S. 144 - 159
Hauptverfasser:	Zhang, Chao, Yang, Yi, Chen, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2025
Schlagworte:	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
Online-Zugang:	Volltext
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