Using genetic algorithms for single-machine bicriteria scheduling problems


Koksalan M. , Keha A.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol.145, no.3, pp.543-556, 2003 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 145 Issue: 3
  • Publication Date: 2003
  • Doi Number: 10.1016/s0377-2217(02)00220-5
  • Title of Journal : EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
  • Page Numbers: pp.543-556
  • Keywords: bicriteria scheduling, genetic algorithms, MULTIPLE

Abstract

We consider two bicriteria scheduling problems on a single machine: minimizing flowtime and number of tardy jobs, and minimizing flowtime and maximum earliness. Both problems are known to be NP-hard. For the first problem, we developed a heuristic that produces an approximately efficient solution (AES) for each possible value the number of tardy jobs can take over the set of efficient solutions. We developed a genetic algorithm (GA) that further improves the AESs. We then adapted the GA for the second problem by exploiting its special structure. We present computational experiments that show that the GAs perform well. Many aspects of the developed GAs are quite general and can be adapted to other multiple criteria scheduling problems. (C) 2002 Elsevier Science B.V. All rights reserved.