GECCO
2007
Springer
14 years 6 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
We explore the use of the developmental environment as a spatial constraint on a model of Artificial Embryogeny, applied to the growth of structural forms. A Deva model is used t...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
Ant colony optimization (ACO) is a well known metaheuristic. In the literature it has been used for tackling many optimization problems. Often, ACO is hybridized with a local sear...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
Biological organisms employ various mechanisms to cope with the dynamic environments they live in. One recent research reported that depending on the rates of environmental variati...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...