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基于改进粒子群算法的多杂质水网络优化设计 被引量:10

Design of Water Network with Multiple Contaminants Based on Improved Particle Swarm Optimization Method
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摘要 本文运用多杂质用水网络超结构建立的MINLP模型,以最小新鲜水用量为目标,利用进出口浓度的约束条件和惩罚函数,并采用改进的粒子群算法求解该优化问题,最后通过两个实例验证了模型和方法的有效性,取得了较好的效果。 A superstructure with multiple contaminations for water - using network is synthesized with a MINLP model. The minimum quantity of fresh water is taken as an objective function in optimal modelling, which is calculated by using the constraint condition of inlet - outlet concentration and penalty function. An evolutionary approach -improved particle swarm optimization is proposed for optimizing such system. Two examples are presented to illustrate efficiency of the method.
作者 王猛 尹洪超
出处 《节能技术》 CAS 2010年第3期209-212,共4页 Energy Conservation Technology
关键词 水网络 改进PSO 优化 water network improved PSO optimization
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