Multi-objective optimal design and decision of water distribution network based on Pareto optimal front
In this paper, for solving the contradictions among system investment,reliability and water quality in water distribution network, A non-linear programming model of multiple working conditions was set up under hydraulic constraints.lt contained an objective function for searching the minimum cost of pipe network and a penalty function associated with hydraulic conditions, another objective function for searching the maximum system reliability which utilized the conception of network resilience index and considered the revise weight. As a result of the poor convergence of the basic harmony search algorithm and couldnt be used in multi-objective optimal problems, based on introducing crossover operator, harmony memory considering rate and pitch adjusting rate which changed with iterations, and completely utilization characteristic of harmony search memory, the author proposed the multiobjective improved harmony search algorithm which could solve pareto optimal front set of multiobjective function effectively. While got all the pareto set, used information entropy method to get attribute weight of every function, then utilized TOPSIS for the study of multi-attribute decision making. At last, an example showed that the method proposed could get the entire pareto optimal front set quickly and stability, the decision program significantly better than normal methods.
water distribution network network resilience index pareto optimal front max-min distance density multi-objective improved harmony search algorithm multi-objective optimization and decision
Jingqing Liu Siyuan Liu Wei Jiang
College of Civil Engineering and Architecture, Zhejiang Unversity, Hangzhou, Zhejiang, China The Yellow River Water Conservancy Committee Survey and Design Institute, Zhengzhou, Henan, China
国际会议
三峡
英文
231-234
2012-05-18（万方平台首次上网日期，不代表论文的发表时间）