Applying self-adaptive evolutionary algorithms to two-dimensional packing problems using a four corners' heuristic

Kevin J. Binkley, Masafumi Hagiwara

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper proposes a four corners' heuristic for application in evolutionary algorithms (EAs) applied to two-dimensional packing problems. The four corners' (FC) heuristic is specifically designed to increase the search efficiency of EAs. Experiments with the FC heuristic are conducted on 31 problems from the literature both with rotations permitted and without rotations permitted, using two different EA algorithms: a self-adaptive parallel recombinative simulated annealing (PRSA) algorithm, and a self-adaptive genetic algorithm (GA). Results on bin packing problems yield the smallest trim losses we have seen in the published literature; with the FC heuristic, zero trim loss was achieved on problems of up to 97 rectangles. A comparison of the self-adaptive GA to fixed-parameter GAs is presented and the benefits of self-adaption are highlighted.

Original languageEnglish
Pages (from-to)1230-1248
Number of pages19
JournalEuropean Journal of Operational Research
Volume183
Issue number3
DOIs
Publication statusPublished - 2007 Dec 16

Keywords

  • Cutting
  • Evolutionary algorithms
  • Genetic algorithms
  • Packing
  • Simulated annealing

ASJC Scopus subject areas

  • Computer Science(all)
  • Modelling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management

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