Multi-objective Differential Evolution Approach for Optimal Control of Water Resource Systems
نویسندگان
چکیده
Optimal control of water resource systems plays an important role in sustainable development of a nation. In general, most of the water management problems are multi-objective in nature and often involve different types of complexities in their model formulation. Obtaining optimal solutions to such problems is always a challenging task. In multi-objective environment, in order to perceive the effect of a particular decision on the performance of individual goals, various alternatives need to be generated. For multi-objective optimization, classical methods of optimization often face difficulties in generating a sufficiently wide spread of true Pareto optimal solutions. Also it requires a large number of simulation runs to arrive at good Pareto optimal front. Recently multi-objective optimization algorithms based on evolutionary algorithms yielding attractive features to overcome those problems. In this study, an efficient multi-objective evolutionary technique namely multiobjective differential evolution algorithm (MODE) is presented for optimal control of water resource systems, with an application to a case study of reservoir operation.
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