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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/71239

    Title: Bio-soft computing with fixed-length DNA to a group control optimization problem
    Authors: 鄭至甫
    Jeng, Jyh‐Fu
    Contributors: 科管智財所
    Keywords: Soft computing;DNA computing;Evolutionary computation;Combinatorial optimization;Elevator dispatching problem
    Date: 2008
    Issue Date: 2014-11-07 16:02:44 (UTC+8)
    Abstract: A bio-soft computing method with fixed-length DNA to solve a group control optimization problem is presented in this paper. In the example of a multi-elevator dispatching problem, fixed-length DNA strands are used in representing the nodes and costs, where the costs are varied by the melting temperature of DNA strands. The optimal solution to a 6-story 2-elevator dispatching problem is searched by biochemical techniques based on the thermodynamic properties of designed DNA strands. This research has shown the potential of bio-soft computing solving the engineering applications, and could be implemented in the future bio-systems.
    Relation: Soft Computing, 12(3), 223-228
    Data Type: article
    Appears in Collections:[科技管理與智慧財產研究所] 期刊論文

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