Szczegóły publikacji
Opis bibliograficzny
Towards application of multi-dimensional ACO pheromone for multi-criteria optimization / Grażyna STARZEC, Mateusz STARZEC, Małgorzata ZAJĘCKA, Grzegorz DOBROWOLSKI, Aleksander BYRSKI // W: Artificial intelligence and soft computing : 24th International Conference, ICAISC 2025 : Zakopane, Poland, June 22–26, 2025 : proceedings , Pt. 1 / eds. Leszek Rutkowski, [et al.]. — Cham : Springer Nature Switzerland, cop. 2026. — ( Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 15948. Lecture Notes in Artificial Intelligence ). — ISBN: 978-3-032-03704-6; e-ISBN: 978-3-032-03705-3. — S. 271–279. — Bibliogr., Abstr. — Publikacja dostępna online od: 2025-11-01
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 164381 |
|---|---|
| Data dodania do BaDAP | 2025-12-15 |
| DOI | 10.1007/978-3-032-03705-3_23 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Artificial Intelligence and Soft Computing 2025 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
We have been experimenting with an idea of extending the information encoded in the ACO pheromone to enhance the efficiency and efficacy of swarm optimization. Up to now this idea has been applied to single-criteria problems; this paper, however, aims at extending it and applying to multi-criteria TSP problems. We focus on presenting the concept of the problem and showing in a statistically significant way that the proposed optimization method works for the selected problems.
