229 search results - page 16 / 46 » Potential fitness for genetic programming |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
ACSW
2004
13 years 9 months ago
2004
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...