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
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