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The Application of an Adaptive Genetic Algorithm Based on Collision Detection in Path Planning of Mobile Robots

An adaptive genetic algorithm based on collision detection (AGACD) is proposed to solve the problems of the basic genetic algorithm in the field of path planning, such as low convergence path quality, many iterations required for convergence, and easily falling into the local optimal solution. First...

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Bibliografiska uppgifter
I publikationen:Comput Intell Neurosci
Huvudupphovsmän: Hao, Kun, Zhao, Jiale, Wang, Beibei, Liu, Yonglei, Wang, Chuanqi
Materialtyp: Artigo
Språk:Inglês
Publicerad: Hindawi 2021
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC8124003/
https://ncbi.nlm.nih.gov/pubmed/34035800
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/5536574
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