Szczegóły publikacji
Opis bibliograficzny
Socio-cognitive ACO in multi-criteria optimization / Aleksander BYRSKI, Wojciech TUREK, Wojciech Radwański, Marek KISIEL-DOROHINICKI // W: Computational Science – ICCS 2019 : 19th International Conference : Faro, Portugal, June 12–14, 2019 : proceedings, Pt. 2 / eds. João M. F. Rodrigues, [et al.]. — Cham : Springer Nature Switzerland AG, cop. 2019. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; 11537. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-22740-1; e-ISBN: 978-3-030-22741-8. — S. 488–501. — Bibliogr. s. 500–501, Abstr.
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 122490 |
|---|---|
| Data dodania do BaDAP | 2019-07-08 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-030-22741-8_35 |
| Rok publikacji | 2019 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Computational Science 2019 |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
In this paper a socio-cognitive ACO-type algorithm is proposed for multi-criteria TSP problem optimization. This algorithm is rooted in psychological inspirations and follows other socio-cognitive swarm intelligence methods proposed up to now. This paper presents the idea and shows the applicability of the proposed algorithm based on selected benchmark functions from the scope of well-known TSPLIB library.
