A hybrid genetic approach for garment cutting in the clothing industry

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

23 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)449-455
Journal / PublicationIEEE Transactions on Industrial Electronics
Volume50
Issue number3
Publication statusPublished - Jun 2003

Abstract

A hybrid genetic approach is proposed for the cutting operation in the clothing industry. Garment cutting is a typical strip-packing problem, which is considered to be NP-complete. With a combination of genetic algorithm (GA) and a novel heuristic algorithm Lowest-Fit-Left-Aligned," the cutting problem is transformed into a simple permutation problem which can be effectively solved by the GA and the searching domain is greatly reduced. From the simulation results, it is demonstrated that the optimal results can be obtained in a reasonably short period of time.

Research Area(s)

  • Clothing industry, Cutting problem, Genetic algorithm (GA), Heuristic algorithm