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题名: Research on a new multiobjective combinatorial optimization algorithm
作者: Qin YF(秦永法) ; Zhao MY(赵明扬) ; Qin YF(秦永法)
作者部门: 机器人学研究室
会议名称: IEEE International Conference on Robotics and Biomimetics (ROBIO 2004)
会议日期: August 22-26, 2004
会议地点: Shenyang, China
会议主办者: IEEE Robot & Automat Soc, IEEE HK RA CS Joint Chapter, Chinese Acad Sci, Shenyang Inst Automat, Chinese High tech Dev Program, Robot Soc Japan, Japan Soc Mech Engineers, Int Rescue Syst Inst, Shenyang Hunnan New Urban Area, Shenyang New & High tech Ind Dev Zone
会议录: IEEE ROBIO 2004: Proceedings of the 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: 2004
页码: 187-191
收录类别: CPCI(ISTP) ; EI
ISBN号: 0-7803-8641-8
关键词: multiple objective problems ; combinatorial optimization ; multiobjective evolutionary algorithm
摘要: An real world engineering design problem is usually with multiple conflicting objectives, and it is easily lead to the difficulty to optimize these objectives at the same time. Multiobjective combinatorial optimization is not only an open theory problem, but also with an important practical significance. After modeling the constrained multiobjective combinatorial optimization problem, a new optimization algorithm is presented in detail. The algorithm is different from existing multiobjective evolutionary algorithms in three aspects. The first is the two-layer encoding method. The second is that it hybrids the simulated annealing algorithm with the genetic algorithm to improve the global searching ability while maintaining the parallel computing ability. The third is the decision making mechanism to evaluate candidate solutions with several design objectives. A numerical example study shows that the proposed algorithm is capable of dealing with multiobjective combinatorial optimization problems.
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/173321/8851
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
秦永法; 赵明扬; 秦永法.Research on a new multiobjective combinatorial optimization algorithm.见:IEEE .IEEE ROBIO 2004: Proceedings of the IEEE International Conference on Robotics and Biomimetics,NEW YORK,2004,187-191
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