Szczegóły publikacji
Opis bibliograficzny
Socio-cognitively inspired ant colony optimization / Aleksander BYRSKI, Ewelina Świderska, Jakub Łasisz, Marek KISIEL-DOROHINICKI, Tom Lenaerts, Dana Samson, Bipin Indurkhya, Ann Nowé // Journal of Computational Science ; ISSN 1877-7503. — 2017 — vol. 21, s. 397–406. — Bibliogr. s. 404–405, Abstr.
Autorzy (8)
- AGHByrski Aleksander
- AGHŚwiderska Ewelina
- AGHŁasisz Jakub
- AGHKisiel-Dorohinicki Marek
- Lenaerts Tom
- Samson Dana
- Indurkhya Bipin
- Nowé Ann
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 104442 |
|---|---|
| Data dodania do BaDAP | 2017-09-08 |
| DOI | 10.1016/j.jocs.2016.10.010 |
| Rok publikacji | 2017 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Journal of Computational Science |
Abstract
Recently we proposed an application of ant colony optimization (ACO) to simulate socio-cognitive features of a population, incorporating perspective-taking ability to generate differently acting ant colonies. Although our main goal was simulation, we took advantage of the fact that the quality of the constructed system was evaluated based on selected traveling salesman problem instances, and the resulting computing system became a metaheuristic, which turned out to be a promising method for solving discrete problems. In this paper, we extend the initial sets of populations driven by different perspective-taking inspirations, seeking both optimal configuration for solving a number of TSP benchmarks, at the same time constituting a tool for analyzing socio-cognitive features of the individuals involved. The proposed algorithms are compared against classic ACO, and are found to prevail in most of the benchmark functions tested.