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Data Mining in Heuristics

In: Handbook of Heuristics

Author

Listed:
  • Marcelo R. H. Maia

    (Universidade Federal Fluminense
    Instituto Brasileiro de Geografia e Estatística)

  • Isabel Rosseti

    (Universidade Federal Fluminense)

  • Simone de Lima Martins

    (Universidade Federal Fluminense)

  • Alexandre Plastino

    (Universidade Federal Fluminense)

Abstract

This chapter explores some heuristics incorporating data mining procedures. The basic idea of using data mining inside a heuristic is to obtain knowledge from previous iterations performed by a heuristic to guide the search in the subsequent iterations. Patterns extracted from good-quality solutions can be used to guide the search, leading to a more effective exploration of the solution space. This survey shows that heuristics may benefit from data mining by obtaining better solutions in shorter computational times.

Suggested Citation

  • Marcelo R. H. Maia & Isabel Rosseti & Simone de Lima Martins & Alexandre Plastino, 2025. "Data Mining in Heuristics," Springer Books, in: Rafael Martí & Panos M. Pardalos & Mauricio G.C. Resende (ed.), Handbook of Heuristics, edition 0, chapter 3, pages 41-69, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-00385-0_11
    DOI: 10.1007/978-3-032-00385-0_11
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