Enumeration strategies for solving constraint satisfaction problems: A performance evaluation

RICARDO JAVIER SOTO DE GIORGIS, BRODERICK CRAWFORD LABRIN, Rodrigo Olivares, Rodrigo Herrera, Franklin Johnson, Fernando Paredes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Constraint programming allows to solve constraint satisfaction and optimization problems by building and then exploring a search tree of potential solutions. Potential solutions are generated by firstly selecting a variable and then a value from the given problem. The enumeration strategy is responsible for selecting the order in which those variables and values are selected to produce a potential solution. There exist different ways to perform this selection, and depending on the quality of this decision, the efficiency of the solving process may dramatically vary. A main concern in this context is that the behavior of the strategy is notably hard to predict. In this paper, we present a performance evaluation of 24 enumeration strategies for solving constraint satisfaction problems. Our goal is to provide new and interesting knowledge about the behavior of such strategies. To this end, we employ a set of wellknown benchmarks that collect general features that may be present on most constraint satisfaction and optimization problems. We believe this information will be useful to help users making better solving decisions when facing new problems.

Original languageEnglish
Title of host publicationArtificial Intelligence Perspectives and Applications - Proceedings of the 4th Computer Science On-line Conference 2015, CSOC 2015
EditorsRadek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, Petr Silhavy
PublisherSpringer Verlag
Pages169-179
Number of pages11
ISBN (Print)9783319184753
DOIs
StatePublished - 1 Jan 2015
Event4th Computer Science On-line Conference, CSOC 2015 - Zlin, Czech Republic
Duration: 27 Apr 201530 Apr 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume347
ISSN (Print)2194-5357

Conference

Conference4th Computer Science On-line Conference, CSOC 2015
CountryCzech Republic
CityZlin
Period27/04/1530/04/15

Keywords

  • Constraint programming
  • Constraint satisfaction problems
  • Enumeration strategies
  • Heuristics

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