Genetic Algorithms for Optimal Reservoir Dispatching

Chang Jian-Xia (), Huang Qiang and Wang Yi-min

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2005, vol. 19, issue 4, 331 pages

Abstract: The fundamental guidelines for genetic algorithm to optimal reservoir dispatching have been introduced. It is concluded that with three basic generators selection, crossover and mutation genetic algorithm could search the optimum solution or near-optimal solution to a complex water resources problem. Alternative formulation schemes of a GA are considered. The real-value coding is proved significantly faster than binary coding, and can produce better results. Sensitivity of crossover probability and mutation probability are also analyzed in this paper. Results from genetic algorithm with real-value coding are compared with those from other optimal methods. The results demonstrate that a genetic algorithm can be satisfactorily used in optimal reservoir problems, and it has potential in application to complex river systems. Copyright Springer Science + Business Media, Inc. 2005

Keywords: genetic algorithm; reservoir optimal dispatching; real-value coding; sensitivity analysis (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:19:y:2005:i:4:p:321-331

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DOI: 10.1007/s11269-005-3018-5

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