Szczegóły publikacji
Opis bibliograficzny
Multi-pheromone ant colony optimization for socio-cognitive simulation purposes / Mateusz Sekara, Michał Kowalski, Aleksander BYRSKI, Bipin INDURKHYA, Marek KISIEL-DOROHINICKI, Dana Samson, Tom Lenaerts // Procedia Computer Science [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1877-0509. — 2015 — vol. 51, s. 954–963. — Bibliogr. s. 963, Abstr. — ICCS 2015 : International Conference on Computational Science : Computational Science at the Gates of Nature : 1–3 June 2015, Reykjavík, Iceland
Autorzy (7)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 89665 |
|---|---|
| Data dodania do BaDAP | 2015-07-16 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.proces.2015.05.234 |
| Rok publikacji | 2015 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Procedia Computer Science |
Abstract
We present an application of Ant Colony Optimisation (ACO) to simulate socio-cognitive features of a population. We incorporated perspective taking ability to generate three different proportions of ant colonies: Control Sample, High Altercentricity Sample, and Low Altercentricity Sample. We simulated their performances on the Travelling Salesman Problem and compared them with the classic ACO. Results show that all three 'cognitively enabled' ant colonies require less time than the classic ACO. Also, though the best solution is found by the classic ACO, the Control Sample finds almost as good a solution but much faster. This study is offered as an example to illustrate an easy way of defining inter-individual interactions based on stigmergic features of the environment. © The Authors.
