Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem

Kristian Verduin, Sarah L. Thomson, Daan van den Berg

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

Abstract

Unlike other NP-hard problems, the constraints on the traveling tournament problem are so pressing that it’s hardly possible to randomly generate a valid solution, for example, to use in a genetic algorithm’s initial population. In this study, we randomly generate solutions, assess the numbers of constraint violations, and extrapolate the results to predict the required number of samples for obtaining a single valid solution for any reasonable instance size. As it turns out, these numbers are astronomical, and we finish the study by discussing the feasibility of efficient sampling of valid solutions to various NP-hard problems.

Original languageEnglish
Title of host publicationProceedings of the 15th International Joint Conference on Computational Intelligence
Subtitle of host publicationVolume 1
EditorsNiki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe
PublisherScience and Technology Publications, Lda
Pages246-257
Number of pages12
Volume1
ISBN (Electronic)9789897586743
DOIs
Publication statusPublished - 2023
Event15th International Joint Conference on Computational Intelligence, IJCCI 2023 - Hybrid, Rome, Italy
Duration: 13 Nov 202315 Nov 2023

Publication series

NameInternational Joint Conference on Computational Intelligence
ISSN (Electronic)2184-3236

Conference

Conference15th International Joint Conference on Computational Intelligence, IJCCI 2023
Country/TerritoryItaly
CityHybrid, Rome
Period13/11/2315/11/23

Bibliographical note

Publisher Copyright:
© 2023 by SCITEPRESS – Science and Technology Publications, Lda.

Keywords

  • Constraint Hierarchy
  • Constraints
  • Evolutionary Computing
  • Genetic Algorithms
  • The Traveling Tournament Problem

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