Genetic algorithm, MIP and improvement heuristic applied to the MLCLP with backlogging

Nenhuma Miniatura disponível

Data

2013-08-21

Autores

Orientador

Coorientador

Pós-graduação

Curso de graduação

Título da Revista

ISSN da Revista

Título de Volume

Editor

Tipo

Trabalho apresentado em evento

Direito de acesso

Acesso abertoAcesso Aberto

Resumo

The present paper solves the multi-level capacitated lot sizing problem with backlogging (MLCLSPB) combining a genetic algorithm with the solution of mixed-integer programming models and the improvement heuristic fix and optimize. This approach is evaluated over sets of benchmark instances and compared to methods from literature. Computational results indicate competitive results applying the proposed method when compared with other literature approaches. © 2013 IEEE.

Descrição

Palavras-chave

genetic algorithm, hybrid metaheuristic, lot-sizing, multi-level, Capacitated lot sizing problem, Computational results, Hybrid Meta-heuristic, Lot sizing, Mixed-Integer Programming, Benchmarking, Heuristic methods, Integer programming, Genetic algorithms

Idioma

Inglês

Como citar

2013 IEEE Congress on Evolutionary Computation, CEC 2013, p. 1483-1490.

URI

http://hdl.handle.net/11449/76310

Itens relacionados

Financiadores

Coleções

Artigos