GECCO
2003
Springer
14 years 4 months ago
2003
Springer
This paper analyzes the performance of a genetic algorithm that utilizes tournament selection, one-point crossover, and a reordering operator. A model is proposed to describe the c...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
The General Yard Allocation Problem (GYAP) is a resource allocation problem faced by the Port of Singapore Authority. Here, space allocation for cargo is minimized for all incoming...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. There are conflicting reports over whether multiple independent runs of genetic algorithms (GAs) with small populations can reach solutions of higher quality or can fin...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
For noisy optimization problems, there is generally a trade-off between the effort spent to reduce the noise (in order to allow the optimization algorithm to run properly), and t...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
Several researchers are using evolutionary search methods to search for test data with which to test a program. The fitness or cost function depends on the test goal but almost in...
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. A method of automatic programming, called genetic programming, assumes that the desired program is found by using a genetic algorithm. We propose an idea of ant colony pr...