The ACO/F-Race algorithm for combinatorial optimization under uncertainty

Mauro Birattari, Prasanna Balaprakash, Marco Dorigo

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

The paper introduces ACO/F-Race, an algorithm for tackling combinatorial optimization problems under uncertainty. The algorithm is based on ant colony optimization and on F-Race. The latter is a general method for the comparison of a number of candidates and for the selection of the best one according to a given criterion. Some experimental results on the probabilistic traveling salesman problem are presented.

Original languageEnglish
Pages (from-to)189-203
Number of pages15
JournalOperations Research/ Computer Science Interfaces Series
Volume39
DOIs
StatePublished - 2007
Externally publishedYes

Keywords

  • Ant colony optimization
  • Combinatorial optimization under uncertainty

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