Multiobjective evolutionary algorithms applied to the rehabilitation of a water distribution system: a comparative study

Authors:
Peter B. Cheung;Luisa F. R. Reis;Klebber T. M. Formiga;Fazal H. Chaudhry;Waldo G. C. Ticona
Affiliations:
São Carlos School of Engineering, University of São Paulo, São Carlos, SP, Brazil;São Carlos School of Engineering, University of São Paulo, São Carlos, SP, Brazil;São Carlos School of Engineering, University of São Paulo, São Carlos, SP, Brazil;São Carlos School of Engineering, University of São Paulo, São Carlos, SP, Brazil;Institute of Mathematics and Computer Science, University of São Paulo, Brazil
Venue:
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Year:
2003

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Abstract

Recognising the multiobjective nature of the decision process for rehabilitation of water supply distribution systems, this paper presents a comparative study of two multiobjective evolutionary methods, namely, multiobjective genetic algorithm (MOGA) and strength Pareto evolutionary algorithm (SPEA). The analyses were conducted on a simple hypothetical network for cost minimisation and minimum pressure requirement, treated as a two-objective problem. For the application example studied, SPEA outperforms MOGA in terms of the Pareto fronts produced and processing time required.