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Extended construction heuristics

In: Optimization by GRASP

Author

Listed:
  • Mauricio G. C. Resende

    (Amazon.com, Inc., Modeling and Optimization Group (MOP))

  • Celso C. Ribeiro

    (Universidade Federal Fluminense, Instituto de Ciência da Computação)

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.

Suggested Citation

  • Mauricio G. C. Resende & Celso C. Ribeiro, 2016. "Extended construction heuristics," Springer Books, in: Optimization by GRASP, chapter 0, pages 147-166, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4939-6530-4_7
    DOI: 10.1007/978-1-4939-6530-4_7
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