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研究生: 吳家堯
Wu, Chia-Yao
論文名稱: 應用審美度理論與基因遺傳演算法於產品造形最佳化之研究
Applying Aesthetics Theory and Genetic Algorithm in Product Form Optimization
指導教授: 蕭世文
Hsiao, Shih-Wen
學位類別: 碩士
Master
系所名稱: 規劃與設計學院 - 工業設計學系
Department of Industrial Design
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 93
中文關鍵詞: 審美度造形最佳化模糊理論基因遺傳演算法
外文關鍵詞: aesthetic, form optimization, fuzzy theory, genetic algorithm
相關次數: 點閱:173下載:7
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  • 在全球化競爭下各產品的附加價值不斷提升,因此產品創新設計是企業取得競爭優勢的關鍵因素。以往,設計師憑藉自我美感與經驗的累積開發新產品,在設計師所能掌握的資訊有限下,很難確保能夠滿足消費者導向的市場,因而可能對企業造成無謂的風險。造形是人類對於產品的第一印象,在產品設計階段須先考量人的使用行為、產品的功能與所需的技術,然後進行造形發展。在造形發展的過程中,經驗豐富的設計師往往能掌握造形的美感,產品在設計團隊不斷地檢討、審視,調整產品造形的過程可視為嘗試解答方案並且評估的過程。這個過程適合結合造形審美度與基因演算法兩者美學評估與尋優的特性,以縮短產品的開發時間、提供設計師對於產品造形的審美度評估與最佳造形美學,提升產品在市場的競爭力。
    故本研究目的為建立一套審美度評價及造形美學最佳化系統,結合模糊理論建立市場審美度標準,並以審美度原則為基礎結合基因遺傳演算法應用於產品造形最佳化。研究案例選定一體式音響作為目標產品,並依據研究結果評估及驗證本研究應用之審美度理論之成果。

    The additional value of a product is improved constantly under globalization competition. Thus, the innovation design is a key factor for the enterprise to make lasting competition. In the past, the products were usually designed on designer’s based design ability and his/her experience. While under limited information, the product can not be designed to satisfy the consumers’ requirement, and the risk of product development is increased for an enterprise. In today’s emotional consumption type, the value of products is not merely with beautiful appearance and appropriate function, but must be designed accord with consumers' taste too. So designers must find out about consumer's psychology request to the best expected value of the products, and give the products with the best shape, material, color, and the feeling that could satisfy consumer's psychology and physical requirement and pay attention to improve the additional value of the products to reach the supreme benefit.
    So, if a computer-aided aesthetic measure evaluation system could be developed, then the time, manpower and material resources could be reduced in the product developing process, and consequently the competitiveness of the industry is improved. In this study, we apply the genetic algorithm and aesthetic theory to generate the optimization at form, which fit the customer and designer requirement. The genetic algorithm can reduce the process which designers modify the form to meet the best form with aesthetic.

    摘要-I- Abstract-II 誌謝-III- 目錄-IV- 圖目錄-VI- 表目錄-VII- 第一章 緒論-1- 1.1研究背景-1- 1.2 研究動機-2- 1.3 研究目的-2- 1.4 研究架構-3- 第二章 文獻探討-5- 2.1造形認知與完形心理學-5- 2.2 美的形式原理-6- 2.3美學量測(Aesthetic Measures)-8- 2.4 基因遺傳演算法-11- 2.4.1 基因遺傳演算法的發展-11- 2.4.2 基因遺傳演算法相關應用於工業設計-12- 2.5 特徵導向式建模與應用-14- 2.5.1 特徵導向建模 -14- 2.5.2 應用特徵參數化設計於產品開發之相關研究-14- 2.6 模糊理論相關應用-15- 第三章 研究理論架構-17- 3.1造形審美度公式-17- 3.1.1平衡(Balance)-17- 3.1.2 勻稱(Equilibrium)-19- 3.1.3 對稱(Symmetry)-21- 3.1.4 比例(Proportion)-26- 3.1.5 統一(Unity)-28- 3.1.6 極簡(Minimalist)-29- 3.1.7 加權平均審美度(Weighted average aesthetic measures)-30- 3.2 模糊綜合評判-31- 3.3 基因遺傳演算法-34- 3.3.1 遺傳演算法程序-34- 3.3.2實數遺傳演算法-36- 3.3.3 實數形基因遺傳演算法的交配過程-36- 3.3.4 實數形基因遺傳演算法的突變過程-39- 第四章 研究步驟與方法-42- 4.1資料蒐集與分析-42- 4.1.1 目標產品樣本選定-42- 4.1.2 確立審美度原則公式-44- 4.2 審美度評價-45- 4.2.1 綜合美學評價-45- 4.3 基因遺傳演算法系統建構-47- 4.3.1 選定基因遺傳演算法之樣本-47- 4.3.2 實數編碼-48- 4.3.3 基因遺傳演算法之適應值-49- 4.3.4 適應函數設計-50- 4.3.5衍生產品造形-50- 4.4 回饋驗證-53- 第五章 結果與討論-54- 5.1產品設計案例-54- 5.2 綜合美學評價-54- 5.3 基因遺傳演算法樣本建構-57- 5.4 基因遺傳演算法適應值-58- 5.5 適應函數設計-58- 5.5.1平衡適應函數設計-60- 5.5.2勻稱適應函數設計-62- 5.5.3對稱適應函數設計-63- 5.6 審美度公式與綜合美學評判之比較-72- 5.7 基因演算法造形衍生之結果與分析-73- 5.7.1 設定終止條件-73- 5.7.2 造形衍生結果-73- 5.8 回饋與驗證-75- 第六章 結論與建議-79- 6.1 研究貢獻-79- 6.2未來發展與建議-80- 參考文獻-81- 附錄 一: 問卷設計-84-

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