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» Optimizing Designs based on Risk Approach
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JMLR
2010
120views more  JMLR 2010»
14 years 4 months ago
Effective Wrapper-Filter hybridization through GRASP Schemata
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence tec...
Mohamed Amir Esseghir
GECCO
2009
Springer
15 years 2 months ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
15 years 1 months ago
A genetic algorithm with exon shuffling crossover for hard bin packing problems
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state genetic algorithm is developed that produces results comparable to other approa...
Philipp Rohlfshagen, John A. Bullinaria
CSE
2009
IEEE
15 years 1 months ago
Rotation Scheduling and Voltage Assignment to Minimize Energy for SoC
— Low energy consumption is a critical issue in embedded systems design. As the technology feature sizes of SoC (Systems on Chip) become smaller and smaller, the percentage of le...
Meikang Qiu, Laurence Tianruo Yang, Edwin Hsing-Me...
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
14 years 11 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner