Meta-heuristics: The State of the Art

  • Authors:
  • Stefan Voß

  • Affiliations:
  • -

  • Venue:
  • ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
  • Year:
  • 2000

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Abstract

Meta-heuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics and science in reasonable time horizons. In this paper we give some insight into the state of the art of meta-heuristics. This primarily focuses on the significant progress which general frames within the meta-heuristics field have implied for solving combinatorial optimization problems, mainly those for planning and scheduling.