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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 會議論文 >  Item 310904400/78490

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/78490

    Title: Cloud Feedback Assistance Based Hybrid Evolution Algorithm for Optimal Data Solution
    Authors: 沈俊宏;Shen, Jun-Hong
    Contributors: 資訊傳播學系
    Date: 2013.07
    Issue Date: 2013-12-26 18:15:31 (UTC+8)
    Abstract: This paper develops a cloud based parallel and distributed evolutionary hybrid algorithm with feedback assistance to help planners solve the data optimal problems such as travel salesman problems. Each step and type of evolution algorithm is established via various virtual machines in cloud. The proposed feedback assistance is based on the fitness evaluation result and survival ratio of evolution algorithm. The feedback assistance can interact with the evolution algorithm and emphasize the process with more survival individuals in the next generation of evolution algorithm. Taking the advantage of cloud and the proposed feedback assistance, system users can take less effort on deploying both computation power and storage space. The convergency of optimal solution can be enhanced.
    Relation: Information Technology Convergence, Lecture Notes in Electrical Engineering
    Appears in Collections:[資訊傳播學系] 會議論文

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