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題 名 | 基因演算法於多目標紡織品設計最佳化之應用=Application of Genetic Algorithm to the Optimum for Multi-Objective Textile Design |
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作 者 | 林正中; | 書刊名 | 紡織綜合研究期刊 |
卷 期 | 16:2 民95.04 |
頁 次 | 頁34-42 |
分類號 | 478.1 |
關鍵詞 | 基因演算法; 啟發式搜尋; 聯合分析; Genetic algorithm; Heuristic searching; Conjoint analysis; |
語 文 | 中文(Chinese) |
中文摘要 | 本文嘗試利用基因演算法以啟發式多點搜尋法協助快速擷取最佳(或接近最佳)的產品設計解,有關如何利用聯合分析(Conjoint Analysis)方法建構多目標設計模式以整合多方資料進行產品設計已於先前「多目標紡織品設計模式之研究」一文中詳細說明。因隨著產品設計之設計者特性(或消費者屬性)及水準數目之增多,經聯合分析結果所得的產品組合數將隨之大增,以致在尋找符合「犧牲最小差異,達到最大共識」之原則的多種不同組合解時,進行評估其間之好壞的過程變得異常的複雜難解,導致其實務應用上遭受限制。實驗結果顯示,基因演算法搜尋效率高,適用於解決聯合分析複雜性高之產品設計問題解,透過其協助使應用聯合分析整合多方資料的多目標產品設計模式在實務應用上的可行性更獲進一步的確保。 |
英文摘要 | This paper mainly focuses on using GA with an excellent heuristic searching done from a population of points to help find the optimum (approaching to optimum) solution to product design. The methodology to integrate multi-source conjoint data analysis for product design problem has been described in the previous paper entitled “A Study of Multi-Objective Textile Design Model". Along with the increasing number of the characteristics and attributes, there are more solutions of combination sets to product design with conjoint analysis. It becomes increasingly difficult using present conjoint analysis techniques to evaluate designs that involve many characteristics, attributes and levels based on “satisfy the most under the least sacrifice". Limitations of this methodology occur due to the size and complexity of a design that can be realistically evaluated. The experiment results show it is promising of using GA to search the solutions for complex design problem. Using GA to help search the possible combination sets between levels of characteristics and those of attributes can further ensure the applicability of conjoint analysis. |
本系統中英文摘要資訊取自各篇刊載內容。