Multi-AUV autonomous task planning based on the scroll time domain quantum bee colony optimization algorithm in uncertain environment

Research on distributed task planning model for multi-autonomous underwater vehicle (MAUV). A scroll time domain quantum artificial bee colony (STDQABC) optimization algorithm is proposed to solve the multi-AUV optimal task planning scheme. In the uncertain marine environment, the rolling time domai...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jianjun, Zhang, Rubo, Yang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706726/
https://www.ncbi.nlm.nih.gov/pubmed/29186166
http://dx.doi.org/10.1371/journal.pone.0188291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706726/
https://www.ncbi.nlm.nih.gov/pubmed/29186166
http://dx.doi.org/10.1371/journal.pone.0188291

Ejemplares similares