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Grasp

In: Handbook of Heuristics

Author

Listed:
  • Paola Festa

    (University of Napoli FEDERICO II, Department of Mathematics and Applications “Renato Caccioppoli”)

  • Mauricio G. C. Resende

    (Amazon.com, Inc. and University of Washington)

Abstract

GRASP (greedy randomized adaptive search procedure) is a multistart metaheuristic for computing good-quality solutions of combinatorial optimization problems. Each GRASP iteration is usually made up of a construction phase, where a feasible solution is constructed, and a local search phase which starts at the constructed solution and applies iterative improvement until a locally optimal solution is found. Typically, the construction phase of GRASP is a randomized greedy algorithm, but other types of construction procedures have been also proposed. Repeated applications of a construction procedure yields diverse starting solutions for the local search. This chapter gives an overview of GRASP describing its basic components and enhancements to the basic procedure, including reactive GRASP and intensification strategies.

Suggested Citation

  • Paola Festa & Mauricio G. C. Resende, 2018. "Grasp," Springer Books, in: Rafael Martí & Panos M. Pardalos & Mauricio G. C. Resende (ed.), Handbook of Heuristics, chapter 16, pages 465-488, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-07124-4_23
    DOI: 10.1007/978-3-319-07124-4_23
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