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| 題 名 | 智慧型垃圾桶決策之進化演算法於懸臂樑最佳化設計=An Intelligent Garbage Can Decision-Making Model Evolution Algorithm for Cantilever Beam Optimum Design |
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| 作 者 | 邱進東; 郭信川; | 書刊名 | 德霖學報 |
| 卷 期 | 24 2010.08[民99.08] |
| 頁 次 | 頁379-392 |
| 分類號 | 448.94 |
| 關鍵詞 | 最適化設計; 差分演算法; 垃圾桶決策模型; Optimum design; Differential evolution algorithms; Garbage can decision-making model; |
| 語 文 | 中文(Chinese) |
| 中文摘要 | 本文基於差分進化演算法(differential evolution algorithms),採用垃圾桶決策模式為邏輯架構, 提出智慧型垃圾桶決策之進化演算法(IGCMEA),以演算法之族群系統模擬人類社會組織,在進 行決策的過程中,遇到問題與目標不明確、方法不明確及人員流動性等問題等情境時,與與會各 方代表人員相互溝通、互斥、妥協與轉化,研擬對應之解決方針,並採用分組與分群之研議機制, 進行較客觀、合理且迅速確實的擇優方式。 本文最後利用IGCMEA 對100 維Rosenbrock Function 進行最適化測試,可達成迅速且令 人滿意效果,同時利用IGCMEA 對懸臂樑,進行形狀最佳化,結果與文獻中利用基因演算法效 果好,說明IGCMEA 具有卓越的尋優性能。 |
| 英文摘要 | Based on differential evolution algorithms, in a framework of 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 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 carry out an optimization test on the 100-dimensional Rosenbrock Function, achieving an efficient and satisfactory result. We also optimized the cantilever beam using IGCMEA and got a better result than when using the genetic algorithm method as in the literature, illustrating the superior power of IGCMEA. |
本系統中英文摘要資訊取自各篇刊載內容。