2011•Wiley Encyclopedia of Operations Research and Management ScienceRequires access

Grasp: Greedy Randomized Adaptive Search Procedures

Maurício G. C. Resende, Ricardo M. A. Silva

Open publisher page 42 citations

Abstract

Abstract GRASP or greedy randomized adaptive search procedure, is a multistart metaheuristic that repeatedly applies local search starting from solutions constructed by a randomized greedy algorithm. In this article we review the basic building blocks of GRASP. We cover solution construction schemes, local search methods, and the use of path‐relinking as a memory mechanism in GRASP.

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What this paper is about

Abstract GRASP or greedy randomized adaptive search procedure, is a multistart metaheuristic that repeatedly applies local search starting from solutions constructed by a randomized greedy algorithm. In this article we review the basic building blocks of GRASP. We cover solution construction schemes, local search methods, and the use of path‐relinking as a memory mechanism in GRASP.

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Available abstract

Abstract GRASP or greedy randomized adaptive search procedure, is a multistart metaheuristic that repeatedly applies local search starting from solutions constructed by a randomized greedy algorithm. In this article we review the basic building blocks of GRASP. We cover solution construction schemes, local search methods, and the use of path‐relinking as a memory mechanism in GRASP.

Key concepts: GRASP, Greedy randomized adaptive search procedure, Metaheuristic, Computer science, Greedy algorithm, Mathematical optimization, Path (computing), Cover (algebra)

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