A multiagent genetic algorithm for global numerical optimization

In this paper, multiagent systems and genetic algorithms are integrated to form a new algorithm, multiagent genetic algorithm (MAGA), for solving the global numerical optimization problem. An agent in MAGA represents a candidate solution to the optimization problem in hand. All agents live in a latt...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on cybernetics 2004-04, Vol.34 (2), p.1128-1141
Hauptverfasser:	Zhong, Weicai, Liu, Jing, Xue, Mingzhi, Jiao, Licheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Application software Benchmark testing Cybernetics Evolution (biology) Genetic algorithms Heuristic Information processing Linear systems Mathematical analysis Mathematical models Multiagent systems Optimization Problem-solving Scalability Signal processing algorithms Studies
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!