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» Evolving Quantum Circuits Using Genetic Algorithm
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GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
15 years 7 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
AAAI
1998
15 years 3 months ago
Evolvable Hardware Chip for High Precision Printer Image Compression
This paper describes a data compression chip for the high-precision electrophotographic printer using Evolvable Hardware (EHW). EHW is a new hardware paradigm which combines Genet...
Hidenori Sakanashi, Mehrdad Salami, Masaya Iwata, ...
121
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GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 8 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
120
Voted
TSMC
2008
100views more  TSMC 2008»
15 years 2 months ago
Instruction-Matrix-Based Genetic Programming
In genetic programming (GP), evolving tree nodes separately would reduce the huge solution space. However, tree nodes are highly interdependent with respect to their fitness. In th...
Gang Li, Jin Feng Wang, Kin-Hong Lee, Kwong-Sak Le...