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IJCAI
2003
13 years 5 months ago
Improving Coevolutionary Search for Optimal Multiagent Behaviors
Evolutionary computation is a useful technique for learning behaviors in multiagent systems. Among the several types of evolutionary computation, one natural and popular method is...
Liviu Panait, R. Paul Wiegand, Sean Luke
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 8 months ago
Robustness in cooperative coevolution
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
R. Paul Wiegand, Mitchell A. Potter
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
13 years 10 months ago
Monotonic solution concepts in coevolution
Assume a coevolutionary algorithm capable of storing and utilizing all phenotypes discovered during its operation, for as long as it operates on a problem; that is, assume an algo...
Sevan G. Ficici
CEC
2010
IEEE
12 years 8 months ago
Co-evolutionary search path planning under constrained information-sharing for a cooperative unmanned aerial vehicle team
—Mobile cooperative sensor networks are increasingly used for surveillance and reconnaissance tasks to support domain picture compilation. However, efficient distributed informat...
Jean Berger, Jens Happe
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
13 years 5 months ago
Neuro-evolution for a gathering and collective construction task
In this paper we apply three Neuro-Evolution (NE) methods as controller design approaches in a collective behavior task. These NE methods are Enforced Sub-Populations, MultiAgent ...
D. W. F. van Krevelen, Geoff S. Nitschke