591 search results - page 16 / 119 » Learning and optimization using the clonal selection princip... |
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
CC
2006
Springer
15 years 1 months ago
2006
Springer
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...