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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/67860

    Title: Multi-objective evolutionary algorithm for operating parallel reservoir system
    Authors: Chang, Li-Chiu;Chang, Fi-John
    Contributors: 淡江大學水資源及環境工程學系
    Keywords: Optimization;Simulation model;Reservoir system;Multi-objective evolutionary algorithm
    Date: 2009-10
    Issue Date: 2011-10-23 02:08:43 (UTC+8)
    Publisher: Amsterdam: Elsevier BV
    Abstract: 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.
    Relation: Journal of Hydrology 377(1–2), pp.12–20
    DOI: 10.1016/j.jhydrol.2009.07.061
    Appears in Collections:[水資源及環境工程學系暨研究所] 期刊論文

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