260 search results - page 21 / 52 » Evolution Strategies for Constants Optimization in Genetic P... |
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. A model of coevolutioinary genetic algorithms (COGA) consisting of two populations coevolving on two-bit landscapes is investigated in terms of the effects of random par...
CPHYSICS
2006
13 years 7 months ago
2006
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
At the current state of the art, genetic programs do not contain two constructs that commonly occur in programs written by humans, that is, loops and functions with parameters. In ...
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...