Optimal search path planning for unmanned surface vehicle based on an improved genetic algorithm-Reference-Cited by-同舟云学术

Optimal search path planning for unmanned surface vehicle based on an improved genetic algorithm

Published:2019-10 Issue: Volume:79 Page:106467
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Guo Hui,Mao Zhaoyong,Ding Wenjun,Liu Peiliang

Funder

National Natural Science Foundation of China

China Scholarship Council

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

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5. The design of a navigation, guidance, and control system for an unmanned surface vehicle for environmental monitoring;Naeem;Inst Mech Eng Part M–J Eng Marit Environ,2008

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