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

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作者： Junfeng,Xin ^[1] ; Jiabao,Zhong ^[2] ; Fengru,Yang ^[3] ; Ying,Cui ^[4] ; Jinlu,Sheng ^[5]

作者单位： College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China. jf.xin@163.com. ^[1] College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China. zhongjbchn@163.com. ^[2] College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China. seawolf_yfr@163.com. ^[3] College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China. cuiying@qust.edu.cn. ^[4] Transport College, Chongqing Jiaotong University, Chongqing 400074, China. seawolf_algorithm@163.com. ^[5]

关键词 Monte-Carlo simulation genetic algorithm multi-domain inversion path planning unmanned surface vehicle

DOI 10.3390/s19112640

PMID 31212651

发布时间 2020-02-25

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准确一般字义偏差语意偏离译文作用小提交