Szczegóły publikacji
Opis bibliograficzny
Solving constrained multi-criteria optimization tasks using elitist evolutionary multi-agent system / Leszek SIWIK, Szymon Natanek // W: WCCI 2008 [Dokument elektroniczny] : 2008 IEEE World Congress on Computational Intelligence : IJCNN 2008 : FUZZ-IEEE 2008 : CEC 2008 : June 1–6, 2008, Hong Kong : proceedings / IEEE. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE,, 2008. — 1 dysk optyczny. — ( Proceedings of ... International Joint Conference on Neural Networks ; ISSN 2161-4393 ). — Dod. ISBN: 978-1-4244-1819-0. — Congress on Evolutionary Computation ; ISBN: 978-1-4244-1823-7. — e-ISBN: 978-1-4244-1821-3. — S. 3357–3364. — Wymagania systemowe: Adobe Acrobat Reader ; napęd CD-ROM. — Bibliogr. s. 3363–3364, Abstr. — W bazie Web of Science ISBN: 978-1-4244-1822-0 oraz zakres stron: 3358–3365
Autorzy (2)
- AGHSiwik Leszek
- Natanek Szymon
Dane bibliometryczne
| ID BaDAP | 41070 |
|---|---|
| Data dodania do BaDAP | 2008-10-27 |
| DOI | 10.1109/CEC.2008.4631252 |
| Rok publikacji | 2008 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | Proceedings of ... International Joint Conference on Neural Networks |
Abstract
Introducing elitism into Evolutionary Multi-Agent System for multi-objective optimization proofed to be smooth both conceptually and in realization. Simultaneously it allowed for obtaining results with comparable high quality to such referenced algorithms as Non-dominated Sorting Genetic Algorithm (NSGA-II) or Strength Pareto Evolutionary Algorithm (SPEA2). What is more, applying mentioned agent-based computational paradigm for solving multi-criteria optimization tasks in "noisy" environments mainly because of-characteristic for EMAS-based approach-a kind of soft selection allowed for obtaining better solutions than mentioned referenced algorithms. From the above observations the following conclusion can be drown: Evolutionary Multi-Agent System (EMAS) (and being the subject of this paper Elitist Evolutionary Multi-Agent System (elEMAS) in particular) seems to be promising computational model in the context or multi-criteria optimization tasks. In previous works however the possibility of applying elEMAS for solving constrained multi-objective optimization task has not been investigated. It is obvious however that in almost all real-life problems constraints are a crucial part of Multi-Objective Optimization Problem (MOOP) definition and it is nothing strange that among (evolutionary) algorithms for multi-objective optimization a special attention is paid to techniques and algorithms for constrained multi-objective optimization and a variety-more or less effective-algorithms have been proposed. Thus, the question appears if effective constrained multi-objective optimization with the use of Elitist Evolutionary Multi-Agent System is possible. In the course of this paper preliminary answer for that question is given.
