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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 7 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
INTEGRATION
2010
172views more  INTEGRATION 2010»
15 years 5 months ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta
CDC
2009
IEEE
165views Control Systems» more  CDC 2009»
15 years 11 months ago
Achieving symmetric Pareto Nash equilibria using biased replicator dynamics
— Achieving the Nash equilibria for single objective games is known to be a computationally difficult problem. However there is a special class of equilibria called evolutionary...
Kiran Somasundaram, John S. Baras
IJCAI
2003
15 years 8 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

Publication
303views
14 years 5 months ago
Evolutionary synthesis of analog networks
he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary ap...
Claudio Mattiussi