Szczegóły publikacji
Opis bibliograficzny
Measuring diversity of socio-cognitively inspired ACO search / Ewelina Świderska, Jakub Łasisz, Aleksander BYRSKI, Tom Lenaerts, Dana Samson, Bipin Indurkhya, Ann Nowé, Marek KISIEL-DOROHINICKI // W: Applications of evolutionary computation : 19th European Conference, EvoApplications 2016 : Porto, Portugal, March 30–April 1, 2016 : proceedings, Pt. 1 / eds. Giovanni Squillero, Paolo Burelli. — Switzerland : Springer International Publishing, 2016. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 9597). — ISBN: 978-3-319-31203-3; e-ISBN: 978-3-319-31204-0. — S. 393–408. — Bibliogr., Abstr.
Autorzy (8)
- AGHŚwiderska Ewelina
- Łasisz Jakub
- AGHByrski Aleksander
- Lenaerts Tom
- Samson Dana
- AGHIndurkhya Bipin
- Nowé Ann
- AGHKisiel-Dorohinicki Marek
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 97326 |
|---|---|
| Data dodania do BaDAP | 2016-04-26 |
| DOI | 10.1007/978-3-319-31204-0_26 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 19th European Conference on Applications of Evolutionary Computation |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
In our recent research, we implemented an enhancement of Ant Colony Optimization incorporating the socio-cognitive dimension of perspective taking. Our initial results suggested that increasing the diversity of ant population — introducing different pheromones, different species and dedicated inter-species relations — yielded better results. In this paper, we explore the diversity issue by introducing novel diversity measurement strategies for ACO. Based on these strategies we compare both classic ACO and its socio-cognitive variation. © Springer International Publishing Switzerland 201