Using a hybrid genetic algorithm-simulated annealing algorithm for fuzzy programming of reservoir operation
學年 96
學期 1
出版（發表）日期 2007-11-01
作品名稱 Using a hybrid genetic algorithm-simulated annealing algorithm for fuzzy programming of reservoir operation
作品名稱（其他語言）
著者 Chiu, Yu-chen; 張麗秋; Chang, Li-chiu; Chang, Fi-john
單位 淡江大學水資源及環境工程學系
出版者 Bognor Regis: John Wiley & Sons Ltd.
著錄名稱、卷期、頁數 Hydrological Processes 21(23), pp.3162-3172
摘要 We present a novel approach for optimizing reservoir operation through fuzzy programming and a hybrid evolution algorithm, i.e. genetic algorithm (GA) with simulated annealing (SA). In the analysis, objectives and constraints of reservoir operation are transformed by fuzzy programming for searching the optimal degree of satisfaction. In the hybrid search procedure, the GA provides a global search and the SA algorithm provides local search. This approach was investigated to search the optimizing operation scheme of Shihmen Reservoir in Taiwan. Monthly inflow data for three years reflecting different hydrological conditions and a consecutive 10-year period were used. Comparisons were made with the existing M-5 reservoir operation rules. The results demonstrate that: (1) fuzzy programming could effectively formulate the reservoir operation scheme into degree of satisfaction α among the users and constraints; (2) the hybrid GA-SA performed much better than the current M-5 operating rules. Analysis also found the hybrid GA-SA conducts parallel analyses that increase the probability of finding an optimal solution while reducing computation time for reservoir operation.
關鍵字 genetic algorithm;simulated annealing;hybrid GA-SA;reservoir operation;fuzzy programming
語言 en
ISSN 0885-6087
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度
國別 GBR
公開徵稿
出版型式 電子版
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