A Multi-objective Optimal Water Strategy Using Time Series Analysis and Improved Genetic Algorithm

Abstract

Time series analysis and genetic algorithm have a good application in many flelds. In present paper, we utilized graph theory, and established a multi-objective optimal water distribution model according to current situation in China. Then, we utilized time series analysis to predict water supply and demand situation, and put forward an improved genetic algorithm solution for optimal water resources strategy. Furthermore, sensitivity and efiectivity of the improved genetic algorithm is flt to resolve the model. This method can be extended to other various resources-distribution flelds.