473 search results - page 24 / 95 » Rank based variation operators for genetic algorithms |
89
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GECCO
2006
Springer
15 years 4 months ago
2006
Springer
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
93
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GPEM
2000
15 years 12 days ago
2000
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
265
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JMIV
2007
15 years 14 days ago
2007
In [2], Chambolle proposed an algorithm for minimizing the total variation of an image. In this short note, based on the theory on semismooth operators, we study semismooth Newton...
100
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HIS
2003
15 years 2 months ago
2003
Abstract. Genetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the perform...
86
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. In this work we have implemented and analyzed the performance of a new real coded steady-state genetic algorithm (SSGA) for the flexible ligand-receptor docking problem....