260 search results - page 1 / 52 » Evolution Strategies for Constants Optimization in Genetic P... |
ICTAI
2009
IEEE
13 years 11 months ago
2009
IEEE
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
GECCO
2008
Springer
13 years 5 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...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
GECCO
2006
Springer
13 years 8 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...