Multiobjective Optimization of Water Resources Based on Genetic Algorithm
Adhering to the principle of sustainable development, the multiobjective water resources optimization model which takes benefits of economic, social and environment as the object was proposed. The model is of the characteristic of large scale system and nonlinear. The genetic algorithm (GA) was applied to solve the model. The GA has strong global searching ability and can avoid premature convergence. The theory and method were applied to Daqinghe River region in China. The calculation results show that both domestic and environmental water demands can meet requirement in years with 50％, 75％ and 95％ rainfall frequency, the harmonious indexes all in excess of 0.8. The proposed model and the solution method are effective and feasible.
multiobjective optimization genetic algorithm large scale system Daqinghe River region
Sun Yue-feng Zhang Sheng-hong Wang Xiao-ling Mei Chuan-shu
Tianjin University School of Civil Engineering Tianjin, China Haihe River Water Conservancy Commission of Ministry of Water Resources Tianjin, China Tianjin University School of Environment Science and Engineering Tianjin, China
国际会议
上海
英文
4742-4746
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）