| Full text | |
| Author(s): |
Toledo, Claudio F. M.
;
Hossomi, Marcelo Y. B.
;
Arantes, Marcio da Silva
;
Franca, Paulo Morelato
;
IEEE
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC); v. N/A, p. 8-pg., 2013-01-01. |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 12/00997-2 - Study and development of hybrid heuristics and metaheuristics to the multi-level capacitated lot sizing problem |
| Grantee: | Marcelo Yukio Bressan Hossomi |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
| FAPESP's process: | 11/15534-5 - Hybrid heuristics and metaheuristics applied to the multi-level capacitated lot sizing problem |
| Grantee: | Claudio Fabiano Motta Toledo |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 10/10133-0 - Cutting, packing, lot-sizing and scheduling problems and their integration in industrial and logistics settings |
| Grantee: | Reinaldo Morabito Neto |
| Support Opportunities: | Research Projects - Thematic Grants |