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» Evolving Quantum Circuits Using Genetic Algorithm
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131
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FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
15 years 8 months ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu
PPSN
1998
Springer
15 years 6 months ago
Methods to Evolve Legal Phenotypes
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
Tina Yu, Peter J. Bentley
103
Voted
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 3 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
119
Voted
IPPS
1998
IEEE
15 years 6 months ago
Meta-heuristics for Circuit Partitioning in Parallel Test Generation
In this communication Simulated Annealing and Genetic Algorithms, are applied to the graph partitioning problem. These techniques mimic processes in statistical mechanics and biol...
Consolación Gil, Julio Ortega, Antonio F. D...
GECCO
2003
Springer
15 years 7 months ago
Methods for Evolving Robust Programs
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
Liviu Panait, Sean Luke