EVOW
2009
Springer
13 years 2 months ago
2009
Springer
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
EVOW
2010
Springer
13 years 3 months ago
2010
Springer
One of the open questions in evolutionary computation is how an arms race may be initiated between coevolving entities such that the entities acquire new behaviors and increase in ...
EC
2002
13 years 4 months ago
2002
In this paper, we develop techniques based on evolvability statistics of the fitness landscape surrounding sampled solutions. Averaging the measures over a sample of equal fitness...
ALIFE
2004
13 years 4 months ago
2004
We study the response of populations of digital organisms that adapt to a time-varying (periodic) fitness landscape of two oscillating peaks. We corroborate in general predictions ...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
The best evolutionary approach can be a difficult problem. In this work we have investigated two evolutionary representations to evolve non-photorealistic renderings: a variable-le...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
FLAIRS
2004
13 years 6 months ago
2004
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...