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Multi-stage solution for nesting in two-dimensional cutting problems using neural networks

  • Guk chan Han
  • , Suck joo Na
  • Korea Advanced Institute of Science and Technology

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

Nesting of two-dimensional patterns is a very important process in a number of industries. The paper proposes a nesting approach which was implemented using the C language in an IBM compatible personal computer. Through experimental results, it was concluded that the switching from the Self-Organized Layout (SOL) algorithm to the Simulated Annealing (SA) algorithm can be successfully carried out and consequently the final layout result is very favorable in comparison with a relatively little improvement that can be achieved by the human eye.

Original languageEnglish
Pages (from-to)409-410
Number of pages2
JournalWelding in the World
Volume34
StatePublished - Sep 1994
EventProceedings of the International Conference on Advanced Techniques and Low Cost Automation - Beijing, China
Duration: 5 Sep 1994 → 6 Sep 1994

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