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

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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Bibliographic Details
Main Authors:	Junfeng Xin, Jiabao Zhong, Fengru Yang, Ying Cui, Jinlu Sheng
Format:	Article
Language:	English
Published:	MDPI AG 2019-06-01
Series:	Sensors
Subjects:	genetic algorithm unmanned surface vehicle path planning multi-domain inversion Monte-Carlo simulation
Online Access:	https://www.mdpi.com/1424-8220/19/11/2640

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