21 search results - page 2 / 5 » A robust evolutionary framework for multi-objective optimiza... |
ECAI
2006
Springer
13 years 6 months ago
2006
Springer
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
We propose an evolutionary algorithm for the enhancement of digital semi-fragile watermaking based on the manipulation of the image discrete cosine transform (DCT). The algorithm ...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...