9 search results - page 1 / 2 » Stochastic multi-objective optimization: a survey on non-sca... |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
In this work, the authors have evaluated almost 20 millions ensembles of classifiers generated by several methods. Trying to optimize those ensembles based on the nearest neighbou...
HIS
2007
13 years 6 months ago
2007
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
ANOR
2004
13 years 4 months ago
2004
In this paper we introduce model-based search as a unifying framework accommodating some recently proposed metaheuristics for combinatorial optimization such as ant colony optimiza...
EVOW
2009
Springer
13 years 11 months ago
2009
Springer
In continuous black-box optimization, various stochastic local search techniques are often employed, with various remedies for fighting the premature convergence. This paper surve...
GECCO
2010
Springer
13 years 6 months ago
2010
Springer
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...