Multi-Objective Reservoir Operating Strategies by Genetic Algorithm and Nonlinear Programming (GA–NLP) Hybrid Approach

This paper presents a genetic algorithm and nonlinear programming (GA–NLP) hybrid model to derive steady state optimal reservoir operating policies for a multi-purpose reservoir. In the present study, the objective is maximizing the net benefits from all the crops in the command area considering yield response to water deficit and the hydro-power generation subject to constraints on reservoir water balance, storage bounds, channel capacities and...