Abstract

The simulated annealing approach is applied to stock cutting. The conceptual approach proposed uses an energy function that measures the area of the rectangular enclosure of all the patterns to be nested, the level of similarity between pattern pairs, and the amount of overlap among patterns in evaluating various pattern configurations to be generated by the simulated annealing algorithm. Three methods for pattern configuration generation are considered. The first method uses heuristics to generate the initial configuration. The second and third methods use random selection and random placement of patterns

Meeting Name

IEEE International Conference on Systems, Man and Cybernetics, 1990

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Energy Function; Heuristics; Level of Similarity; Operations Research; Overlap; Random Placement; Random Selection; Simulated Annealing; Stock Cutting Problem

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1990 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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