摘要
在水流量为模糊随机变量且河流中工业污水含量标准给定的条件下,以极小化污水处理费用为目标,建立了水污染控制系统问题的模糊随机机会约束规划模型。采用将模糊随机模拟、神经元网络及遗传算法相结合的混合遗传算法来求解该模型,并用算例进行了验证,结果表明该算法是有效可行的。
The fuzzy randon chance-constrained programming models for water pollution control system with minimizing sewage treatment cost are established under the condition that water current capacities are fuzzy randon variables and industrial sewage content standard in rivers is given.Then a hybrid intelligent algorithm integrating fuzzy randon simulation,neural network and genetic algorithm is designed to solve this model which verified by examples.The result shows that the algorithm is feasible and effective.
出处
《环境工程》
CAS
CSCD
北大核心
2008年第S1期78-81,共4页
Environmental Engineering
基金
国家自然科学基金(10661006)
广西自然科学基金(桂科自0833621)
关键词
污水处理
模糊随机变量
模糊随机规划
混合遗传算法
sewage treatment fuzzy randon variable fuzzy randon programming hybrid genetic algorithm
