教師資料查詢 | 類別: 期刊論文 | 教師: 張麗秋 LI-CHIU CHANG (瀏覽個人網頁)

標題:Multi-objective evolutionary algorithm for operating parallel reservoir system
學年
學期
出版(發表)日期2009/10/01
作品名稱Multi-objective evolutionary algorithm for operating parallel reservoir system
作品名稱(其他語言)
著者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Amsterdam: Elsevier BV
著錄名稱、卷期、頁數Journal of Hydrology 377(1–2), pp.12–20
摘要This paper applies a multi-objective evolutionary algorithm, the non-dominated sorting genetic algorithm (NSGA-II), to examine the operations of a multi-reservoir system in Taiwan. The Feitsui and Shihmen reservoirs are the most important water supply reservoirs in Northern Taiwan supplying the domestic and industrial water supply needs for over 7 million residents. A daily operational simulation model is developed to guide the releases of the reservoir system and then to calculate the shortage indices (SI) of both reservoirs over a long-term simulation period. The NSGA-II is used to minimize the SI values through identification of optimal joint operating strategies. Based on a 49 year data set, we demonstrate that better operational strategies would reduce shortage indices for both reservoirs. The results indicate that the NSGA-II provides a promising approach. The pareto-front optimal solutions identified operational compromises for the two reservoirs that would be expected to improve joint operations.
關鍵字Optimization;Simulation model;Reservoir system; Multi-objective evolutionary algorithm
語言英文
ISSN0022-1694
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者Chang, Fi-John
審稿制度
國別荷蘭
公開徵稿
出版型式紙本
相關連結
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