109 search results - page 2 / 22 » An investigation on evolutionary gradient search for multi-o... |
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 ...
EMO
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This paper proposes an improved version of volume dominance to assign fitness to solutions in Pareto-based multi-objective optimisation. The impact of this revised volum...
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...
EMO
2009
Springer
13 years 2 months ago
2009
Springer
Traditionally, Predator-Prey Models--although providing a more nature-oriented approach to multi-objective optimization than many other standard Evolutionary Multi-Objective Algori...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Several inverse problems exist in the atmospheric sciences that are computationally costly when using traditional gradient based methods. Unfortunately, many standard evolutionary ...