294 search results - page 4 / 59 » Evolution of Fitness Functions to Improve Heuristic Performa... |
CIDM
2007
IEEE
14 years 3 days ago
2007
IEEE
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
CEC
2009
IEEE
14 years 16 days ago
2009
IEEE
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
The efficacy of two evolutionary approaches to the problem of generation of heuristical linear and non-linear evaluation functions in the game of give-away checkers is tested in th...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...