3 search results - page 1 / 1 » Learning, anticipation and time-deception in evolutionary on... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
AE
2003
Springer
13 years 10 months ago
2003
Springer
The ideas proposed in this work are aimed to describe a novel approach based on artificial life (alife) environments for on-line adaptive optimisation of dynamical systems. The bas...