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GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
13 years 11 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
CEC
2005
IEEE
13 years 7 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
CEC
2010
IEEE
13 years 6 months ago
Coordinate System Archive for coevolution
Problems in which some entities interact with each other are common in computational intelligence. This scenario, typical for co-evolving artificial-life agents, learning strategie...
Wojciech Jaskowski, Krzysztof Krawiec
ATAL
2005
Springer
13 years 10 months ago
Multiagent simulation of learning environments
One of the key issues in designing appropriate and effective learning environments is understanding how learners advance and what factors contribute to their progress. This holds...
Elizabeth Sklar, Mathew Davies
ATAL
2006
Springer
13 years 7 months ago
Selecting informative actions improves cooperative multiagent learning
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Liviu Panait, Sean Luke