844 search results - page 76 / 169 » Generalized crowding for genetic algorithms |
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that le...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
IJON
2000
14 years 9 months ago
2000
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...