131 search results - page 3 / 27 » Evolutionary Neuroestimation of Fitness Functions |
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
A well-designed fitness function is essential to the effectiveness and efficiency of evolutionary testing. Fitness function design has been researched extensively. For fitness ...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
CEC
2010
IEEE
13 years 9 months ago
2010
IEEE
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
This paper is concerned with designing self-driven fitness functions for Embedded Evolutionary Robotics. The proposed approach considers the entropy of the sensori-motor stream gen...
EVOW
2009
Springer
13 years 6 months ago
2009
Springer
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...