54 search results - page 3 / 11 » On improving genetic programming for symbolic regression |
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...