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Study on Solving the Water Supply Optimal Dispatch Problems with an Improved Genetic Algorithm

Tao Jian-ke

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Abstract

An improved genetic algorithm is developed to solve the problems of the standard genetic algorithm easy to produce premature convergence and easy to fall into the local optimum,which has been successfully applied in east China city water supply optimization dispatch.The simulating results indicate solving optimal dispatch problems of large-scale water supply systems with the improved genetic algorithm can prevent premature and realize global-optimization effectively.

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What this paper is about

An improved genetic algorithm is developed to solve the problems of the standard genetic algorithm easy to produce premature convergence and easy to fall into the local optimum,which has been successfully applied in east China city water supply optimization dispatch.The simulating results indicate solving optimal dispatch problems of large-scale water supply systems with the improved genetic algorithm can prevent premature and realize global-optimization effectively.

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Available abstract

An improved genetic algorithm is developed to solve the problems of the standard genetic algorithm easy to produce premature convergence and easy to fall into the local optimum,which has been successfully applied in east China city water supply optimization dispatch.The simulating results indicate solving optimal dispatch problems of large-scale water supply systems with the improved genetic algorithm can prevent premature and realize global-optimization effectively.

Key concepts: Premature convergence, Genetic algorithm, Convergence (economics), Water supply, Mathematical optimization, Scale (ratio), Computer science, Algorithm

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