Szczegóły publikacji
Opis bibliograficzny
Lamarckian and lifelong memetic search in agent-based computing / Wojciech KORCZYŃSKI, Marek KISIEL-DOROHINICKI, Aleksander BYRSKI // W: Applications of evolutionary computation : 20th European conference, EvoApplications 2017 : Amsterdam, The Netherlands, April 19–21, 2017 : proceedings, Pt. 1 / eds. Giovanni Squillero, [et al.]. — Switzerland : Springer International Publishing, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 10199. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-319-55848-6; e-ISBN: 978-3-319-55849-3. — S. 253–265. — Bibliogr. s. 264–265, Abstr. — Publikacja dostępna online od: 2017-03-25
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 105204 |
|---|---|
| Data dodania do BaDAP | 2017-05-23 |
| DOI | 10.1007/978-3-319-55849-3_17 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 20th European conference on Applications of Evolutionary Computation |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
Memetic algorithms when used with care can help in balancing exploitation and exploration of the metaheuristics, without the overhead measured by the rapidly increased number of function fitness calls. The paper tackles such balancing of use of metaheuristics in an agent-oriented setting. In particular, application of local search during a computing agent’s life is researched. The results shown for selected benchmark functions are presented along with necessary statistic testing.
