1830 search results - page 111 / 366 » Optimizing Sorting with Genetic Algorithms |
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
GECCO
2003
Springer
15 years 3 months ago
2003
Springer
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
EUROGP
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
— This paper presents a genetic algorithm (GA) with a stress-based crossover (SX) operator to obtain a solution without checkerboard patterns for multi-constrained topology optim...