A Brief Survey on Hybrid Metaheuristics

C. Blum (Speaker, Keynote), Jakob Puchinger (Autor, Keynote), G. Raidl (Autor, Keynote), Andrea Roli (Autor, Keynote)

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

The combination of components from different algorithms is currently one of the most successful trends in optimization. The hybridization of metaheuristics such as ant colony optimization, evolutionary algorithms,and variable neighborhood search with techniques from operations research and artificial intelligence plays hereby an important role. The resulting hybrid algorithms are generally labelled hybrid metaheuristics. The rising of this new research field was due to the fact that the focus of research in optimization has shifted from an algorithm-oriented point of view to a problem-oriented point of view. In this brief survey on hybrid metaheuristics we provide an overview on some of the most interesting and respresentative developments.
Original languageEnglish
Title of host publicationProceedings of BIOMA 2010 -- 4th International Conference on Bioinspired Optimization
Pages3-16
Number of pages14
Publication statusPublished - 2010
EventBIOMA 2010 -- 4th International Conference on Bioinspired Optimization -
Duration: 1 Jan 2010 → …

Conference

ConferenceBIOMA 2010 -- 4th International Conference on Bioinspired Optimization
Period1/01/10 → …

Research Field

  • Former Research Field - Mobility Systems

Keywords

  • Optimization
  • hybridization
  • metaheuristics
  • exact techniques

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