GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
We study the update of the distribution in Estimation of Distribution Algorithms, and show that a simple modiļ¬cation leads to unbiased estimates of the optimum. The simple modiļ...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
We investigate the dynamics of trader behaviors using a co-evolutionary genetic programming system to simulate a double-auction market. The objective of this study is twofold. Fir...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many diļ¬erent ways. Thus, when the space is examined it i...