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题名: Using nonlinear constrained optimization methods to solve manipulators path planning with hybrid genetic algorithms
作者: Zhu XL(朱兴龙) ; Wang HG(王洪光) ; Zhao MY(赵明扬)
作者部门: 机器人学研究室
会议名称: IEEE International Conference on Robotics and Biomimetics (ROBIO 2005)
会议日期: July 5-9, 2005
会议地点: Hong Kong, China
会议录: 2005 IEEE International Conference on Robotics and Biomimetics
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2005
页码: 718-723
收录类别: CPCI(ISTP) ; EI
ISBN号: 0-7803-9315-5
摘要: Numerical optimization problems enjoy a significant popularity in genetic algorithms (GAs) community. All major genetic techniques use such problems for various tests and experiments. However, many of these techniques encounter difficulties in solving some real-world problems which include non-trivial constrains. This paper discusses a new method, which combines sequential weight increasing factor technique (SWIFT) with GAs, for solving nonlinear constrained optimization problems. In order to surmount the pre-maturity phenomenon, the niche evolutionary strategy is adopted. By comparison of individuals in the same generation computation, if the individual is fit for the differentiate criterion, the lower fitness individual will decrease its fitness value on use of penalty methods. Eventually, some famous test cases and manipulators planning illustrate this approach is very available.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8940
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
朱兴龙; 王洪光; 赵明扬.Using nonlinear constrained optimization methods to solve manipulators path planning with hybrid genetic algorithms.见:IEEE .2005 IEEE International Conference on Robotics and Biomimetics,NEW YORK,2005,718-723
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