473 search results - page 1 / 95 » Rank based variation operators for genetic algorithms |
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
— Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between ...
ECML
2004
Springer
13 years 8 months ago
2004
Springer
Abstract. This paper presents an empirical study of population diversity measure and adaptive control of diversity in the context of a permutation-based algorithm for Traveling Sal...
BMCBI
2005
13 years 4 months ago
2005
Background: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the t...