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» On the generality of parameter tuning in evolutionary planni...
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GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
14 years 10 days ago
The impact of jointly evolving robot morphology and control on adaptation rate
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...
Josh C. Bongard
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 6 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 9 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
APIN
1998
107views more  APIN 1998»
13 years 5 months ago
Multiple Adaptive Agents for Tactical Driving
Abstract. Recent research in automated highway systems has ranged from low-level vision-based controllers to high-level route-guidance software. However, there is currently no syst...
Rahul Sukthankar, Shumeet Baluja, John Hancock
GECCO
2007
Springer
269views Optimization» more  GECCO 2007»
13 years 12 months ago
Automated red teaming: a proposed framework for military application
In this paper, we describe Automated Red Teaming (ART), a concept that uses Evolutionary Algorithm (EA), Parallel Computing and Simulation to complement the manual Red Teaming eff...
Chwee Seng Choo, Ching Lian Chua, Su-Han Victor Ta...