• DocumentCode
    2218866
  • Title

    A hybrid heuristic approach to solve the multi level capacitated lot sizing problem

  • Author

    Toledo, Claudio Fabiano Motta ; de Oliveira, Renato Resende Ribeiro ; França, Paulo Morelato

  • Author_Institution
    Inst. of Math. & Comput. Sci., Univ. of Sao Paulo, Sao Paulo, Brazil
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    1194
  • Lastpage
    1201
  • Abstract
    This paper presents preliminary results found by a hybrid heuristic applied to solve the Multi-Level Capacitated Lot Sizing Problem (MLCLSP). The proposed method combines a multi-population genetic algorithm and flx-and-optimize heuristic. These methods are also integrated to a mathematical programming approach. For this, a mathematical reformulation of MLCLSP model is proposed to embed the exact solution of the model in the heuristic approaches. The hybrid heuristic is evaluated in two sets of benchmark instances. The solutions found are compared with those reached by other methods from literature. The preliminary results obtained indicate that the hybrid heuristic outperforms other approaches in the majority of problems solved.
  • Keywords
    genetic algorithms; lot sizing; mathematical programming; production planning; flx-and-optimize heuristic; hybrid heuristic approach; mathematical programming; mathematical reformulation; multilevel capacitated lot sizing problem; multipopulation genetic algorithm; Benchmark testing; Computational modeling; Equations; Genetic algorithms; Heuristic algorithms; Lot sizing; Mathematical model; Genetic algorithms; Heuristic algorithms; Lot sizing; Optimization; Production planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949752
  • Filename
    5949752