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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/75917
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75917

    Title: Collective Problem Solving Through Coordinated Reaction
    Authors: Liu, Jyi-shane;Hung, Pei-Chun;Lee, Ching-Ying
    Contributors: 資科系
    Date: 1994
    Issue Date: 2015-06-17 16:42:29 (UTC+8)
    Abstract: We present a methodology, called Constraint Partition and Coordinated Reaction (CP&CR), for collective, evolutionary problem solving. Problem solving is viewed as an emergent functionality from the evolving process of a group of diverse, interacting, and well-coordinated reactive agents. Cheap and effective search knowledge is extracted from local interactions and embedded in the coordination mechanism. Our domain of problem solving is constraint satisfaction problems. We have applied the methodology to job shop scheduling, an NP-complete constraint satisfaction problem. Experimental results on a benchmark suite of problems show that CP&CR outperformed three other state-of-the-art direct search scheduling techniques, in both efficiency and number of problems solved. In addition, CP&CR was experimentally tested on problems of larger sizes and showed favorable scaling-up characteristics
    Relation: International Conference on Evolutionary Computation , pp. 575-578
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/ICEC.1994.349996
    DOI: 10.1109/ICEC.1994.349996
    Appears in Collections:[資訊科學系] 會議論文

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