| Selection Method of Multi-Objective Problems Using Genetic Algorithm in Motion Plan of AUV |
| |
| 作者姓名： | ZHANG Ming-jun ZHENG Jin-xing ZHANG Jing College of Mechanical and Electrical Engineering Harbin Engineering University Harbin China College of Computer and Information Science Harbin Engineering University Harbin China |
| |
| 作者单位： | ZHANG Ming-jun，ZHENG Jin-xing，ZHANG Jing College of Mechanical and Electrical Engineering，Harbin Engineering University，Harbin 150001，China College of Computer and Information Science，Harbin Engineering University，Harbin 150001，China |
| |
| 摘 要： | To research the effect of the selection method of multi-objects genetic algorithm problem on optimizing result, thismethod is analyzed theoretically and discussed by using an autonomous underwater vehicle(AUV) as an object. A changingweight vtlue method is put forward and a selection formula is modified. Some experiments were implemented on an AUV.TwinBurger. The results shows that this method is effective and feasible.
|
Selection method of multi — objective problems using genetic algorithm in motion plan of AUV |
| |
| ZHANG Ming-jun,ZHENG Jin-xing,ZHANG Jing College of Mechanical and Electrical Engineering,Harbin Engineering University,Harbin ,China College of Computer and Information Science,Harbin Engineering University,Harbin ,China.Selection Method of Multi-Objective Problems Using Genetic Algorithm in Motion Plan of AUV[J].Journal of Marine Science and Application,2002,1(1):81-86. |
| |
| Authors: | Ming-jun Zhang Jin-xing Zheng Jing Zhang |
| |
| Institution: | ZHANG Ming-jun,ZHENG Jin-xing,ZHANG Jing College of Mechanical and Electrical Engineering,Harbin Engineering University,Harbin 150001,China College of Computer and Information Science,Harbin Engineering University,Harbin 150001,China |
| |
| Abstract: | To research the effect of the selection method of multi - objects genetic algorithm problem on optimizing result , this method is analyzed theoretically and discussed by using an autonomous underwater vehicle(AUV) as an object. A changing weight value method is put forward and a selection formula is modified. Some experiments were implemented on an AUV. TwinBurger. The results shows that this method is effective and feasible. |
| |
| Keywords: | AUV multi - objective optimization genetic algorithm selection method |
| 本文献已被 CNKI SpringerLink 等数据库收录！ |
