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» Integrating evolutionary computing and the SADDE methodology
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 8 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
SIMPRA
2010
558views more  SIMPRA 2010»
13 years 3 months ago
Species abundance patterns in an ecosystem simulation studied through Fisher's logseries
We have developed an individual-based evolving predator-prey ecosystem simulation that integrates, for the first time, a complex individual behaviour model, an evolutionary mecha...
Didier Devaurs, Robin Gras
DAC
2008
ACM
14 years 5 months ago
Concurrent topology and routing optimization in automotive network integration
In this paper, a novel automatic approach for the concurrent topology and routing optimization that achieves a high quality network layout is proposed. This optimization is based ...
Bardo Lang, Christian Haubelt, Jürgen Teich, ...
CORR
2004
Springer
106views Education» more  CORR 2004»
13 years 4 months ago
Intelligent Systems: Architectures and Perspectives
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
Ajith Abraham
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
13 years 11 months ago
Particle swarm guided evolution strategy
Evolution strategy (ES) and particle swarm optimization (PSO) are two of the most popular research topics for tackling real-parameter optimization problems in evolutionary computa...
Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen