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» Evolving Quantum Circuits Using Genetic Algorithm
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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 8 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 8 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
AHS
2006
IEEE
137views Hardware» more  AHS 2006»
15 years 8 months ago
Genetic Algorithm based Engine for Domain-Specific Reconfigurable Arrays
Domain-specific reconfigurable arrays have shown to provide an efficient trade-off between flexibility of FPGA and performance of ASIC circuit. Nonetheless, the design of these he...
Wing On Fung, Tughrul Arslan, Sami Khawam
117
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GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 8 months ago
Genetically designed heuristics for the bin packing problem
The bin packing problem (BPP) is a real-world problem that arises in different industrial applications related to minimization of space or time. The aim of this research is to au...
Oana Muntean
104
Voted
IWINAC
2005
Springer
15 years 8 months ago
GA-Selection Revisited from an ES-Driven Point of View
Whereas the selection concept of Genetic Algorithms (GAs) and Genetic Programming (GP) is basically realized by the selection of above-average parents for reproduction, Evolution S...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...