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 language | English |
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Title of host publication | Proceedings of the 15th International Joint Conference on Computational Intelligence |
Subtitle of host publication | Volume 1 |
Editors | Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe |
Publisher | Science and Technology Publications, Lda |
Pages | 246-257 |
Number of pages | 12 |
Volume | 1 |
ISBN (Electronic) | 9789897586743 |
DOIs | |
Publication status | Published - 2023 |
Event | 15th International Joint Conference on Computational Intelligence, IJCCI 2023 - Hybrid, Rome, Italy Duration: 13 Nov 2023 → 15 Nov 2023 |
Publication series
Name | International Joint Conference on Computational Intelligence |
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ISSN (Electronic) | 2184-3236 |
Conference
Conference | 15th International Joint Conference on Computational Intelligence, IJCCI 2023 |
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Country/Territory | Italy |
City | Hybrid, Rome |
Period | 13/11/23 → 15/11/23 |
Bibliographical note
Publisher Copyright:© 2023 by SCITEPRESS – Science and Technology Publications, Lda.
Keywords
- Constraint Hierarchy
- Constraints
- Evolutionary Computing
- Genetic Algorithms
- The Traveling Tournament Problem