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检索条件"主题词=Multi-Objective Genetic algorithm"
725 条 记 录,以下是721-730 订阅
排序:
An intelligent control system with a multi-objective self-exploration process
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FUZZY SETS AND SYSTEMS 2004年 第2期143卷 275-294页
作者: Chen, LH Chiang, CH Natl Cheng Kung Univ Dept Ind Management Sci Tainan 701 Taiwan
This paper proposes a novel approach based on artificial intelligence technologies (multi-objective Self-Exploration process based Intelligent Control System-mSEICS) for intelligent control systems. Not only can this ... 详细信息
来源: 评论
Power conscious BIST design for sequential circuits using ghost-FSM  12
Power conscious BIST design for sequential circuits using <i...
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12th Asian Test Symposium
作者: Roy, S Sikdar, BK Kalyani Govt Engn Coll Dept Comp Sci & Engn Kalyani 741235 W Bengal India
This paper presents an efficient BIST scheme with low power consumption for sequential circuits. The BIST structure is obtained by using a ghost-FSM. A multi-objective genetic algorithm (MOGA) is employed to optimize ... 详细信息
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TIME-OPTIMAL PATH PLANNING AND CONTROL USING NEURAL NETWORKS AND A genetic algorithm
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International Journal of Computational Intelligence and Applications 2002年 第2期2卷 153-172页
作者: NACHOL CHAIYARATANA ALI M. S. ZALZALA Research and Development Center for Intelligent Systems King Mongkut's Institute of Technology North Bangkok Thailand The IKMA Laboratory School of Engineering and Physical Sciences Heriot-Watt University Edinburgh EH14 4AS UK
This paper presents the use of neural networks and a genetic algorithm in time-optimal control of a closed-loop 3-dof robotic system. Extended Kohonen networks which contain an additional lattice of output neurons are... 详细信息
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genetic algorithms using multi-objectives in a multi-agent system
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ROBOTICS AND AUTONOMOUS SYSTEMS 2000年 第2-3期33卷 179-190页
作者: Cardon, A Galinho, T Vacher, JP Univ Havre Inst Technol LIH F-76610 Le Havre France UPMC LIP6 Paris VI F-75252 Paris 6 France LIH Inst Super Etud Logist F-76063 Le Havre France
We are interested in a job-shop scheduling problem corresponding to an industrial problem. Gantt diagram's optimization can be considered as an NP-difficult problem. Determining an optimal solution is almost impos... 详细信息
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multi-objective optimization for site location problems through hybrid genetic algorithm with neural networks
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JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 1999年 第1期32卷 51-58页
作者: Shimizu, Y Toyohashi Univ Technol Toyohashi Aichi 4418580 Japan
With the aim of developing a flexible optimization method for managing conflict resolution, this paper concerns itself with site location problems under multi-objectives. As known from the term NIMBY (Not In My Back Y... 详细信息
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