473 search results - page 18 / 95 » Rank based variation operators for genetic algorithms |
GECCO
2003
Springer
14 years 25 days ago
2003
Springer
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
ENGL
2007
13 years 7 months ago
2007
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We prove that for any real-valued matrix X ∈ Rm×n , and positive integers r k, there is a subset of r columns of X such that projecting X onto their span gives a r+1 r−k+1 -a...
FOGA
1998
13 years 9 months ago
1998
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...