During last two decades, water resources planning and management profession has seen a dramatic i... more During last two decades, water resources planning and management profession has seen a dramatic increase in the development and application of various types of evolutionary algorithms (EAs). In the present study, Multi-objective Genetic Algorithm(MOGA) has been used to optimize the operation of existing multipurpose reservoir in India, and also to derive reservoir operating rules for optimal reservoir operations. The fitness functions used in the model are minimization of irrigation deficits and maximization of hydropower generation. These two are conflicting objectives, as one tries to minimize the irrigation deficits, requiring more water to be released to satisfy irrigation demands and the other tries to maximize hydropower production, which requires higher level of storage to be maintained in the reservoir to produce more power. The decision variables are monthly releases from the reservoir for irrigation and initial storages in reservoir at beginning of the month. The constrain...
During last two decades, water resources planning and management profession has seen a dramatic i... more During last two decades, water resources planning and management profession has seen a dramatic increase in the development and application of various types of evolutionary algorithms (EAs). In the present study, Multi-objective Genetic Algorithm(MOGA) has been used to optimize the operation of existing multipurpose reservoir in India, and also to derive reservoir operating rules for optimal reservoir operations. The fitness functions used in the model are minimization of irrigation deficits and maximization of hydropower generation. These two are conflicting objectives, as one tries to minimize the irrigation deficits, requiring more water to be released to satisfy irrigation demands and the other tries to maximize hydropower production, which requires higher level of storage to be maintained in the reservoir to produce more power. The decision variables are monthly releases from the reservoir for irrigation and initial storages in reservoir at beginning of the month. The constrain...
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Papers by G.S. Moze