Grasp: Greedy Randomized Adaptive Search Procedures
Maurício G. C. Resende, Ricardo M. A. Silva
Abstract
Maurício G. C. Resende, Ricardo M. A. Silva
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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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)