Greedy Randomized Adaptive Search Procedures: Advances, Hybridizations, and Applications

Mauricio G.C. Resende () and Celso C. Ribeiro ()
Additional contact information
Mauricio G.C. Resende: AT&T Labs Research
Celso C. Ribeiro: Universidade Federal Fluminense

Chapter Chapter 10 in Handbook of Metaheuristics, 2010, pp 283-319 from Springer

Abstract: Abstract GRASP is a multi-start metaheuristic for combinatorial optimization problems, in which each iteration consists basically of two phases: construction and local search. The construction phase builds a feasible solution, whose neighborhood is investigated until a local minimum is found during the local search phase. The best overall solution is kept as the result. In this chapter, we first describe the basic components of GRASP. Successful implementation techniques are discussed and illustrated by numerical results obtained for different applications. Enhanced or alternative solution construction mechanisms and techniques to speed up the search are also described: alternative randomized greedy construction schemes, Reactive GRASP, cost perturbations, bias functions, memory and learning, local search on partially constructed solutions, hashing, and filtering. We also discuss implementation strategies of memory-based intensification and post-optimization techniques using path-relinking. Hybridizations with other metaheuristics, parallelization strategies, and applications are also reviewed.

Keywords: Local Search; Tabu Search; Construction Phase; Iterate Local Search; Bias Function (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (18)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-1665-5_10

Ordering information: This item can be ordered from
http://www.springer.com/9781441916655

DOI: 10.1007/978-1-4419-1665-5_10

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().