GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Efficient and effective deployment of IEEE 802.16 networks to service an area of users with certain traffic demands is an important network planning problem. We resort to an evol...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Embodied cognition emphasizes that intelligent behavior results from the coupled dynamics between an agent’s body, brain and environment. In response to this, several projects h...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Conventional similarity metrics used to sustain diversity in evolving populations are not well suited to sequential decision tasks. Genotypes and phenotypic structure are poor pre...
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 modification leads to unbiased estimates of the optimum. The simple modi...
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...