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机构地区:[1]太原理工大学,山西太原030024
出 处:《科技情报开发与经济》2009年第5期84-86,共3页Sci-Tech Information Development & Economy
基 金:山西省自然科学基金项目(2006011058)研究成果之一
摘 要:将遗传算法应用于以汾河太原城区段南内环桥至小店桥为研究对象的水污染控制系统规划研究,将遗传算法在水污染控制系统规划研究中具体化,其应用结果较为满意。结果表明该算法对目标函数的形式与性质要求较低,可在全局范围内搜索并快速收敛,实现了水污染控制系统规划模型最优求解,且编程简单,易于将计算机技术应用其中。The normal methods for solving the non-linear planning of water pollution control system are depended on the material form of the model and the restrict conditions, with which the global optimal solution is difficult to obtain. This paper applies the genetic algorithm into the water pollution control system planning study which chooses the urban area of Fenhe Rriver's Taiyuan section from the Nanneihuan Bridge to the Xiaodian Bridge as research subject,and materializes the genetic algorithm in the planning study on the water pollution control system, and points out that the application of the method turns out to be satisfied. The result indicates that this algorithm has less relativity with the form and the character of the target function, the overall searching and the fast convergence can also be fully used to obtain the optimal solution of water pollution control system planning model,of which the programme makes it easy for the application of computer science.
分 类 号:X52[环境科学与工程—环境工程]
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