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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Glass container production scheduling through hybrid multi-population based evolutionary algorithm

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Motta Toledo, Claudio Fabiano [1] ; Arantes, Marcio da Silva [1] ; Ribeiro de Oliveira, Renato Resende [2] ; Almada-Lobo, Bernardo [3]
Total Authors: 4
[1] Univ Sao Paulo, Inst Ciencia Matemat & Comp, BR-13566590 Sao Carlos, SP - Brazil
[2] Univ Fed Lavras, Dept Ciencia Comp, BR-37200000 Lavras, MG - Brazil
[3] Univ Porto, Fac Engn, INESC TEC, P-4200465 Oporto - Portugal
Total Affiliations: 3
Document type: Journal article
Source: APPLIED SOFT COMPUTING; v. 13, n. 3, p. 1352-1364, MAR 2013.
Web of Science Citations: 23

Driven by a real-world application in the capital-intensive glass container industry, this paper provides the design of a new hybrid evolutionary algorithm to tackle the short-term production planning and scheduling problem. The challenge consists of sizing and scheduling the lots in the most cost-effective manner on a set of parallel molding machines that are fed by a furnace that melts the glass. The solution procedure combines a multi-population hierarchically structured genetic algorithm (GA) with a simulated annealing (SA), and a tailor-made heuristic named cavity heuristic (CH). The SA is applied to intensify the search for solutions in the neighborhood of the best individuals found by the GA, while the CH determines quickly values for a relevant decision variable of the problem: the processing speed of each machine. The results indicate the superior performance of the proposed approach against a state-of-the-art commercial solver, and compared to a non-hybridized multi-population GA. (C) 2012 Elsevier B. V. All rights reserved. (AU)

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
FAPESP's process: 11/15581-3 - Environment for development of methods applied to optimization problems
Grantee:Márcio da Silva Arantes
Support Opportunities: Scholarships in Brazil - Master
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