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題 名 | Function Optimization Using the Genetic Algorithm=函數優化使用遺傳基因演算法 |
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作 者 | 蔡榮鋒; 劉文忠; | 書刊名 | 建國學報 |
卷 期 | 20 2001.06[民90.06] |
頁 次 | 頁431-438 |
分類號 | 448.813 |
關鍵詞 | 遺傳基因演算法; Sinc函數; 整體最佳解; 染色體; Genetic algorithms; Sinc function; Global solution; Chromosomes; |
語 文 | 英文(English) |
中文摘要 | 本文針對求最佳解的問題提出一個絕佳的數值優化方法。對於預設範圍的設計參數,利用所提出的方法-遺傳基因演算法(genetic algorithm)-根據生物自然演進過程中的基因重組及優者生存原理來自行找出最佳解。研究中,將此方法應用於求一個含有多個局部極值的典型二維Sinc函數的整體最佳解。結果顯示此解可被輕易、成功的求得。此結果亦足以證明遺傳基因演算法對於解決特別複雜的問題深具潛力。 |
英文摘要 | In this paper, a novel unmerical-optimiztion method is presented for searching the global solution. Given a pre-definded set of design parameters, the proposed technique based on the natural processes of genetic recombination and evolution-as so-called Genetic Algorithm (GA) will automatically arrive at the final optimal solution. This presented technique is applied to search for the global maxima of a well-defined two-dimentional sinc function with a unmber of local maxima. The results show that the problem can be solved both sucessfully and easily. This strongly provides the fact that the GA is with much potential for being used to tackle extremely complex problems. |
本系統中英文摘要資訊取自各篇刊載內容。