GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. This paper is concerned with a dynamic vehicle routing problem. The problem is dynamic in the sense that the time it will take to traverse each edge is uncertain. The pro...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. A scheduling algorithm for satellites imaging tasks in a dynamic and uncertain environment. The environment is dynamic in the sense that imaging tasks will be added or re...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This paper introduces subchromosome representations to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the num...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. A model of coevolutioinary genetic algorithms (COGA) consisting of two populations coevolving on two-bit landscapes is investigated in terms of the effects of random par...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Nowadays, large distributed databases are commonplace. Client applications increasingly rely on accessing objects from multiple remote hosts. The Internet itself is a huge network ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
It has been shown empirically that the XCS classifier system solves typical classification problems in a machine learning competitive way. However, until now, no learning time es...