Multi-objective pump scheduling optimisation using evolutionary strategies

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• 作者：Bará ; n ; Benjam&iacute ; n ; von Lü ; cken ; Christian ; Sotelo ; Aldo
• 关键词：Pump scheduling ; Evolutionary computation ; Genetic algorithms ; Pareto dominance ; Multi-objective optimisation ; Water supply
• 刊名：Advances in Engineering Software
• 出版年：2005
• 期刊代码：5_09659978
• 类别：et
• 出版时间：January, 2005
• 卷：36
• 期：1
• 页码：39-47
• 文件大小：226 K

摘要

Multi-objective Evolutionary Algorithms (MOEAs) are used to solve an optimal pump-scheduling problem with four objectives to be minimized: electric energy cost, maintenance cost, maximum power peak, and level variation in a reservoir. Six different MOEAs were implemented and compared. In order to consider hydraulic and technical constraints, a heuristic algorithm was developed and combined with each implemented MOEA. Evaluation of experimental results of a set of metrics shows that the Strength Pareto Evolutionary Algorithm achieves better overall performance than other MOEAs for the parameters considered in the test problem, providing a wide range of optimal pump schedules to chose from.