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GECCO
2004
Springer
14 years 2 months ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
IWINAC
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. We consider the numerical evolutionary optimization of dynamic molecular alignment by shaped femtosecond laser pulses. We study a simplified model of this quantum contro...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...
ROBOCUP
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. This paper presents a new approach to optimize gait parameter sets using evolutionary algorithms. It separates the crossover-step of the evolutionary algorithm into an in...