473 search results - page 24 / 95 » Rank based variation operators for genetic algorithms |
GECCO
2006
Springer
13 years 11 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...
GPEM
2000
13 years 7 months 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 ...
JMIV
2007
13 years 7 months 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...
HIS
2003
13 years 9 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...
GECCO
2004
Springer
14 years 1 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....