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題名 | 遺傳演算法與其應用於優選翡翠水庫規線之研究=Genetic Algorithms Applied to Optimization the Fei-Tsui Reservoir's Rule Curve |
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作者姓名(中文) | 陳莉; | 書刊名 | 臺灣水利 |
卷期 | 48:1=189 2000.03[民89.03] |
頁次 | 頁48-58 |
分類號 | 443.96 |
關鍵詞 | 遺傳演算法; 最佳化; 操作規線; Genetic algorithms; Optimization; Rule curves; |
語文 | 中文(Chinese) |
中文摘要 | 遺傳演算法是一種具平行演算結構的高效率搜尋方法,此法基於達爾文的物競天 擇理念,將搜尋空間編碼成染色體,類比生物上的基因複製、交換與突變,可有效的選擇計 算表現良好的點,在每一代的繁衍中自動淘汰其他的,而達到最佳化的目標。本研究以淡水 河流域的翡翠水庫為對象,因用水需求的持續增加,缺水問題顯得日益嚴重,如何發揮水庫 供水效能與操作管理,實為最重要的課題。應用遺傳演算法來進行優選其操作規線的程序, 結果顯示可使缺水指數達到最小。 |
英文摘要 | Genetic algorithms are parallel and efficient search methods. These algorithms are based on the Darwinian natural selection. First the search space is coded as chromosome. Then the basic operators, i.e. gene reproduction, crossover and mutation, are performed to search the best performance point. Each generation automatically eliminates points for achieving the optimal goal. The Fei-Tsui reservoir built in the Tan-Shui river basin is studied in this paper. Due to the water requirement increasing consistently, the water shortage problem becomes more and more seriously. Developing a water usage strategy for each aim reasonably and managing the reservoir effectively are consequently the most important task. The genetic algorithms are used in the optimization process for selection the best rule curve of Fei-Tsui reservoir. The results show that genetic algorithms can obtain the smallest shortage index efficiently. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。