Multi-objective Optimization Design of Water Supply Network Based on Improved NSGA-Ⅲ Algorithm
Aiming at the problems of the low efficiency and poor convergence of multi-objective optimization algo-rithm in the optimization design of water supply network,an adaptive third-generation non-dominated Sorting Genetic Al-gorithm(a-NSGA-Ⅲ)was proposed to optimize the diversity of solution set while differentiating cross mutation probabil-ity.Overall consideration of the economy,reliability and water quality of the water supply network,the mean value of the absolute value and the mean square deviation of the surplus head were introduced into the reliability to prevent nega-tive pressure and improve the pressure and distribution uniformity.Finally,the water supply network of a city in Suzhou was taken as the research object,the standard NSGA-Ⅲ and a-NSGA-Ⅲ algorithms were used to solve the model.The results show that the proposed a-NSGA-Ⅲ algorithm is superior to the standard NSGA-Ⅲ algorithm in Pareto solution set front distribution,convergence and scheme results,and has a better effect in the actual water supply network model,which can provide theoretical support for design and optimization of water supply network.
water supply networkNSGA-Ⅲmulti-objective optimizationreliabilitywater quality
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NSTL
万方数据
维普
