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Waste reduction in Rectangular Figure Cutting using a Genetic Algorithm
Author(s) -
Juan C. Rodríguez Noriega,
Jairo R. Coronado-Hernández,
Sergio Leottau
Publication year - 2016
Publication title -
ciencia y tecnología de buques
Language(s) - English
Resource type - Journals
eISSN - 2619-645X
pISSN - 1909-8642
DOI - 10.25043/19098642.138
Subject(s) - crossover , reduction (mathematics) , genetic algorithm , process (computing) , algorithm , selection (genetic algorithm) , representation (politics) , mutation , operator (biology) , computer science , mathematical optimization , object (grammar) , elitism , mathematics , artificial intelligence , biochemistry , chemistry , geometry , repressor , politics , political science , transcription factor , law , gene , operating system
This paper introduces a genetic algorithm (GA) to minimize the waste produced during the cutting process of rectangular figures on a sheet. The chromosomes for solution codification use an object-based representation. It has the following operator: Partially Mapped Crossover (PMX), mutation based in double interchange (2-opt), and the elitism strategy for the selection process. The proposed algorithm was applied in a real case situation problem, where the numbers of items were 55 pieces. The result of this implementation was a reduction of the waste as a result of the decrease in the number of sheets used in the cutting process and at the same time an effective employment of the used area.

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