The purpose of this study was to investigate improve the utilization rate of water resources and using multi-objective optimization algorithms to prediction water demand for the next 30 years, then the swarm intelligence approach was used to analysis for the development and utilization of water resources. The results obtained in this study include built a group optimization intelligent algorithm and the multi-objective optimization configuration prediction model for water resources is realized, for the disadvantages of PSO and GA algorithm, a hybrid optimization algorithm based on PSO and GA is proposed. The results indicated that the proposed algorithm can predict the water demand in the next 30 years, and can provide a certain reference for the formulation to effective regulation economic, social and ecological water consumption. Simultaneously, the PSO and GA hybrid optimization algorithm can achieve more than a simple algorithm using PSO or GA optimization results better.

本研究的目的是研究提高水资源利用率，并使用多目标优化算法预测未来30年的需水量，然后采用群智能方法对水资源的开发利用进行分析。研究结果包括建立了群体优化智能算法，实现了水资源多目标优化配置预测模型，针对PSO和GA算法的缺点，提出了一种基于PSO和GA的混合优化算法。结果表明，该算法可以预测未来30年的需水量，为制定有效调控经济，社会和生态用水提供参考。同时，