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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/42139

Title: Intelligent Garbage Can Decision-Making Model Evolution Algorithm for optimization of structural topology of plane trusses
Authors: Hsin-Chuan Kuo;Jinn-Tong Chiu;Ching-Hai Lin
Contributors: 國立臺灣海洋大學:系統工程暨造船學系
Date: 2012-09
Issue Date: 2017-04-27T01:38:21Z
Publisher: Applied Soft Computing
Abstract: Abstract:The optimum design of structural topology of trusses is widely acknowledged as the most difficult and challenging problem in the area of structural optimization. Based on differential evolution algorithms and using the framework of a Garbage Can Decision-Making Model, we proposed an Intelligent Garbage Can Decision-Making Model Evolution Algorithm (IGCMEA) to simulate the decision-making process in human social organizations. In a decision-making process, when faced with issues such as unclear goals and methods, employee turnover and so forth, 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 manner. By applying the differential evolution (DE) algorithm and IGCMEA to perform an optimization test on the 100-dimensional Schwefel Function, we showed that IGCMEA can achieve an efficient and satisfactory result. We also optimized the truss topology using IGCMEA and obtained a better result than when using the Genetic Algorithm as in the literature, thus illustrating the superior power of IGCMEA.
Relation: 12(9),pp.2719-2727
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/42139
Appears in Collections:[系統工程暨造船學系] 期刊論文

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