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Genetic Algorithms for Multi-objective Optimization: Application to a Multi-reservoir System in the Chi River Basin, Thailand

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Abstract

The multi-objective genetic algorithm is applied to determine the optimal operation of a multi-reservoir system in the Chi River Basin, Thailand. Two competing objective functions are considered; dam release and dam storage. The predicted values for the release and storage needed are mostly lower than in current established management practice.

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Acknowledgments

Financial support for this work was provided by Mahasarakham University, Thailand. The research facilities during the course of this work as a visitor to the School of Mathematical Sciences, Faculty of Engineering, Computer and Mathematical Sciences at the University of Adelaide (Australia) are gratefully acknowledged. The author would also like to thank the Northeastern Hydro Power Plant Center, Electricity Generating Authority of Thailand for data and Mr. Arthit Apichottanakul for his programming assistance.

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Correspondence to Bungon Kumphon.

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Kumphon, B. Genetic Algorithms for Multi-objective Optimization: Application to a Multi-reservoir System in the Chi River Basin, Thailand. Water Resour Manage 27, 4369–4378 (2013). https://doi.org/10.1007/s11269-013-0416-y

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  • DOI: https://doi.org/10.1007/s11269-013-0416-y

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