EUSFLAT
2003
13 years 6 months ago
2003
We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create complex evolutionary algorithms with parallel and hierarchic...
IKE
2004
13 years 6 months ago
2004
This paper presents one target of the Evo-business project (2003-2005, conducted at University of Luxembourg) which aims at applying evolutionary algorithms (and more precisely lo...
AAAI
2006
13 years 6 months ago
2006
The expected first hitting time is an important issue in theoretical analyses of evolutionary algorithms since it implies the average computational time complexity. In this paper,...
HIS
2008
13 years 6 months ago
2008
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
HIS
2008
13 years 6 months ago
2008
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
Recently, a new iterative optimization framework utilizing an evolutionary algorithm called "Prototype Optimization with Evolved iMprovement Steps" (POEMS) was introduced...
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. Software configurable analogue arrays offer an intriguing platform for automated design by evolutionary algorithms. Like previous evolvable hardware experiments, these pl...
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
CEC
2005
IEEE
13 years 6 months ago
2005
IEEE
Abstract- Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to devel...
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search an...