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

نویسندگان

  • Peter B. Cheung
  • Luisa F. R. Reis
  • Klebber T. M. Formiga
  • Fazal H. Chaudhry
  • Waldo Gonzalo Cancino Ticona
چکیده

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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تاریخ انتشار 2003