Comparison of evolutionary multi objective optimization algorithms in optimum design of water distribution network

In this paper, the application of three well-known multi-objective optimization algorithms to water distribution network (WDN) optimum design has been considered. Non-dominated sorting genetic algorithm II (NSGA-II), Multi-objective differential evolution (MODE) and Multi-objective particle swarm op...

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Vydané v:Ain Shams Engineering Journal Ročník 10; číslo 1; s. 103 - 111
Hlavní autori: Monsef, H., Naghashzadegan, M., Jamali, A., Farmani, R.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.03.2019
Elsevier
Predmet:
Differential evolution
Genetic algorithm
Multi-objective optimization
Particle swarm
Water distribution design
Differential evolution
Multi-objective optimization
Water distribution design
Particle swarm
Genetic algorithm
ISSN:2090-4479
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Shrnutí:In this paper, the application of three well-known multi-objective optimization algorithms to water distribution network (WDN) optimum design has been considered. Non-dominated sorting genetic algorithm II (NSGA-II), Multi-objective differential evolution (MODE) and Multi-objective particle swarm optimization (MOPSO) algorithms are applied to benchmark mathematical test function problems for evaluating the performance of these algorithms. The Accuracy and computational runtime are the two indicators used for the comparison of these three algorithms. The optimization results of mathematical test functions show that all three algorithms were able to accurately produce Pareto Front, but the computational time of MODE algorithm to achieve the optimal solutions is lower than the two other algorithms. Then, the discussed algorithms have been used to optimize the WDN design problem. Comparison of the generated solutions on the Pareto Front for WDN design shows that the obtained Pareto Front of MODE is more accurate and faster.
ISSN:2090-4479
DOI:10.1016/j.asej.2018.04.003