An Improved Genetic Algorithm for Path-Planning of Unmanned Surface Vehicle

The genetic algorithm (GA) is an effective method to solve the path-planning problem and help realize the autonomous navigation for and control of unmanned surface vehicles. In order to overcome the inherent shortcomings of conventional GA such as population premature and slow convergence speed, thi...

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Detalles Bibliográficos
Autores principales: Xin, Junfeng, Zhong, Jiabao, Yang, Fengru, Cui, Ying, Sheng, Jinlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603549/
https://www.ncbi.nlm.nih.gov/pubmed/31212651
http://dx.doi.org/10.3390/s19112640

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603549/
https://www.ncbi.nlm.nih.gov/pubmed/31212651
http://dx.doi.org/10.3390/s19112640

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