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Runtime distributions

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

Runtime distributions or time-to-target plots display on the ordinate axis the probability that an algorithm will find a solution at least as good as a given target value within a given running time, shown on the abscissa axis. They provide a very useful tool to characterize the running times of stochastic algorithms for combinatorial optimization problems and to compare different algorithms or strategies for solving a given problem. They have been widely used as a tool for algorithm design and comparison.

Suggested Citation

  • Mauricio G. C. Resende & Celso C. Ribeiro, 2016. "Runtime distributions," Springer Books, in: Optimization by GRASP, chapter 0, pages 113-146, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4939-6530-4_6
    DOI: 10.1007/978-1-4939-6530-4_6
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