MICAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In this paper, a new fuzzy logic-based approach to production scheduling in the presence of uncertain disruptions is presented. The approach is applied to a real-life pro...
MICAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
HM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. This paper introduces a new algorithm, based on the concept of ejection chains, to effectively target vehicle routing problems with time window constraints (VRPTW). Ejec...
HM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
HM
2005
Springer
14 years 1 months ago
2005
Springer
HM
2005
Springer
14 years 1 months ago
2005
Springer
A lot of heuristic approaches have been explored in the last two decades in order to tackle large size optimization problems. These areas include parallel meta-heuristics, hybrid m...
HM
2005
Springer
14 years 1 months ago
2005
Springer
We present a shared memory approach to the parallelization of the Ant Colony Optimization (ACO) metaheuristic and a performance comparison with an existing message passing implemen...
HM
2005
Springer
14 years 1 months ago
2005
Springer
Image registration is a very active research area in computer vision, namely it is used to find a transformation between two images taken under different conditions. Point matchi...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
The nature of computer networks and the manner in which network services are provided are changing dramatically. Network architectures that employ virtual mobile agents to provide...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...