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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46961

Title: An Intelligent Garbage Can Decision-Making Model Evolution Algorithm in Optimal Design of Fuzzy Controller of Active Vibration Isolation Systems
Authors: H.C. Kuo;J.T. Chiu;Y.J. Li
Contributors: 國立臺灣海洋大學:系統工程暨造船學系
Date: 2010
Issue Date: 2018-06-15T07:45:56Z
Publisher: Journal of Taiwan Society of Naval Architects and Marine Engineers
Abstract: Abstract:In this paper, a differential evolution algorithm (DE) was used to be the search mechanism and a garbage can decision-making model was a logical framework, an Intelligent Garbage Can Decision-Making Model Evolution Algorithm (IGCMEA) was proposed to simulate the human social organization based on the hierarchical system. In a decision-making process, when faced with issues such as unclear goals and technologies, participators turnover, etc., representatives of all participating parties will communicate, argue, compromise and adapt with each other, in order to find a solution to the problems. Group meetings are conducted to choose the best solution in a more objective, reasonable and efficient way. At last, we used IGCMEA to optimize the fuzzy controller with fuzzy logic control theory. Under the random exciting load, we carried out one numerical simulation of the vibration isolation of an active vibration isolation system and investigated the effect of vibration isolation and the rule surface of the controller. The result demonstrated that IGCMEA possesses an excellent search performance.
Relation: 29(2) pp.103-112
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46961
Appears in Collections:[系統工程暨造船學系] 期刊論文

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