- AutorIn
- Ruby Louisa Viktoria Moritz
- Titel
- Cooperation in self-organized heterogeneous swarms
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa-161633
- Datum der Einreichung
- 12.01.2015
- Datum der Verteidigung
- 26.02.2015
- Abstract (EN)
- Cooperation in self-organized heterogeneous swarms is a phenomenon from nature with many applications in autonomous robots. I specifically analyzed the problem of auto-regulated team formation in multi-agent systems and several strategies to learn socially how to make multi-objective decisions. To this end I proposed new multi-objective ranking relations and analyzed their properties theoretically and within multi-objective metaheuristics. The results showed that simple decision mechanism suffice to build effective teams of heterogeneous agents and that diversity in groups is not a problem but can increase the efficiency of multi-agent systems.
- Freie Schlagwörter (DE)
- Multi-agent systeme, multi-kriterielle Optimierung, k[ünstliche Intelligenz, Schwarmintelligenz
- Freie Schlagwörter (EN)
- Multi-agent.systems, multi-objective optimization, artificial intelligence, swarm intelligence
- Klassifikation (DDC)
- 000
- GutachterIn
- Professor Dr. Martin Middendorf
- Professor Dr. Sanaz Mostaghim
- BetreuerIn
- Professor Dr. Martin Middendorf
- Den akademischen Grad verleihende / prüfende Institution
- Universität Leipzig, Leipzig
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa-161633
- Veröffentlichungsdatum Qucosa
- 23.03.2015
- Dokumenttyp
- Dissertation
- Sprache des Dokumentes
- Englisch