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Multiobjective Evolutionary Algorithms Applied to the Rehabilitation of a Water Distribution System: A Comparative Study

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Evolutionary Multi-Criterion Optimization (EMO 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.

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Author information

Authors and Affiliations

  1. São Carlos School of Engineering, University of São Paulo Brazil, Av. do Trabalhador São Carlense 400, C. P. 359, São Carlos, SP, Brazil, 13560-250

    Peter B. Cheung, Luisa F. R. Reis, Klebber T. M. Formiga & Fazal H. Chaudhry

  2. Institute of Mathematics and Computer Science, University of São Paulo, Brazil

    Waldo G. C. Ticona

Authors
  1. Peter B. Cheung
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  2. Luisa F. R. Reis
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  3. Klebber T. M. Formiga
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  4. Fazal H. Chaudhry
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  5. Waldo G. C. Ticona
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Editor information

Editors and Affiliations

  1. Faculty of Sciences and Technology, Centre for Intelligent Systems, University of the Algarve, Campus de Gambelas, 8005-139, Faro, Portugal

    Carlos M. Fonseca

  2. Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK

    Peter J. Fleming

  3. Department of Electrical Engineering, Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, Gloriastraße 35, 8092, Zürich, Switzerland

    Eckart Zitzler  & Lothar Thiele  & 

  4. Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, Kanpur, UP, 208 016, India

    Kalyanmoy Deb

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© 2003 Springer-Verlag Berlin Heidelberg

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Cheung, P.B., Reis, L.F.R., Formiga, K.T.M., Chaudhry, F.H., Ticona, W.G.C. (2003). Multiobjective Evolutionary Algorithms Applied to the Rehabilitation of a Water Distribution System: A Comparative Study. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Thiele, L., Deb, K. (eds) Evolutionary Multi-Criterion Optimization. EMO 2003. Lecture Notes in Computer Science, vol 2632. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36970-8_47

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  • DOI: https://doi.org/10.1007/3-540-36970-8_47

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-01869-8

  • Online ISBN: 978-3-540-36970-7

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