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Multi-objective pump scheduling optimisation using evolutionary strategies
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DOI：10.1016/j.advengsoft.2004.03.012.png)
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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. (C) 2004 Civil-Comp Ltd and Elsevier Ltd. All rights reserved.
Keyword:
pump scheduling
evolutionary computation
genetic algorithms
pareto dominance
multi-objective optimisation
water supply
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5.7
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3.3K
被引数:
1.2W
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