淡江大學機構典藏:Item 987654321/67822
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    題名: Constrained genetic algorithms for optimizing multi-use reservoir operation
    作者: Chang, Li-Chiu, Chang, Fi-John;Wang, Kuo-Wei;Dai, Shin-Yi
    貢獻者: 淡江大學水資源及環境工程學系
    關鍵詞: Reservoir operation;Constrained genetic algorithms (CGA);Penalty strategy;Ecological base flow
    日期: 2010-08
    上傳時間: 2011-10-23 02:05:50 (UTC+8)
    出版者: Amsterdam: Elsevier BV
    摘要: To derive an optimal strategy for reservoir operations to assist the decision-making process, we propose a methodology that incorporates the constrained genetic algorithm (CGA) where the ecological base flow requirements are considered as constraints to water release of reservoir operation when optimizing the 10-day reservoir storage. Furthermore, a number of penalty functions designed for different types of constraints are integrated into reservoir operational objectives to form the fitness function. To validate the applicability of this proposed methodology for reservoir operations, the Shih-Men Reservoir and its downstream water demands are used as a case study. By implementing the proposed CGA in optimizing the operational performance of the Shih-Men Reservoir for the last 20 years, we find this method provides much better performance in terms of a small generalized shortage index (GSI) for human water demands and greater ecological base flows for most of the years than historical operations do. We demonstrate the CGA approach can significantly improve the efficiency and effectiveness of water supply capability to both human and ecological base flow requirements and thus optimize reservoir operations for multiple water users. The CGA can be a powerful tool in searching for the optimal strategy for multi-use reservoir operations in water resources management.
    關聯: Journal of Hydrology 390(1-2), pp.66-74
    DOI: 10.1016/j.jhydrol.2010.06.031
    顯示於類別:[水資源及環境工程學系暨研究所] 期刊論文

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