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A biased random-key genetic algorithm for the minimization of open stacks problem.
- Source :
- International Transactions in Operational Research; Jan2016, Vol. 23 Issue 1/2, p25-46, 22p, 5 Diagrams, 15 Charts
- Publication Year :
- 2016
-
Abstract
- This paper describes a biased random-key genetic algorithm ( BRKGA) for the minimization of the open stacks problem ( MOSP). The MOSP arises in a production system scenario, and consists of determining a sequence of cutting patterns that minimize the maximum number of open stacks during the cutting process. The proposed approach combines a BRKGA and a local search procedure for generating the sequence of cutting patterns. A novel fitness function for evaluating the quality of the solutions is also developed. Computational tests are presented using available instances taken from the literature. The high quality of the solutions obtained validate the proposed approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09696016
- Volume :
- 23
- Issue :
- 1/2
- Database :
- Complementary Index
- Journal :
- International Transactions in Operational Research
- Publication Type :
- Academic Journal
- Accession number :
- 110694846
- Full Text :
- https://doi.org/10.1111/itor.12109