Extended construction heuristics

Mauricio G. C. Resende and Celso C. Ribeiro
Additional contact information
Mauricio G. C. Resende: Amazon.com, Inc., Modeling and Optimization Group (MOP)
Celso C. Ribeiro: Universidade Federal Fluminense, Instituto de Ciência da Computação

Chapter Chapter 7 in Optimization by GRASP, 2016, pp 147-166 from Springer

Abstract: Abstract In Chapter 3 , we considered cardinality-based and quality-based adaptive greedy algorithms as a generalization of greedy algorithms. Next, we presented semi-greedy algorithms that are obtained by randomizing adaptive greedy algorithms and constitute the main foundation for developing the construction phase of GRASP heuristics. In this chapter, we consider enhancements, extensions, and variants of greedy randomized adaptive construction procedures such as Reactive GRASP, the probabilistic choice of the construction parameter α, random plus greedy and sampled greedy constructions, cost perturbations, bias functions, principles of intelligent construction based on memory and learning, the proximate optimality principle and local search applied to partially constructed solutions, and pattern-based construction strategies using vocabulary building or data mining.

Date: 2016
References: Add references at CitEc
Citations:

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:sprchp:978-1-4939-6530-4_7

Ordering information: This item can be ordered from
http://www.springer.com/9781493965304

DOI: 10.1007/978-1-4939-6530-4_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().