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ICPR
2004
IEEE
10 years 9 months ago
Optimizing Nearest Neighbour in Random Subspaces using a Multi-Objective Genetic Algorithm
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...
Guillaume Tremblay, Robert Sabourin, Patrick Maupi...
ANOR
2016
4 years 4 months ago
Stochastic multi-objective optimization: a survey on non-scalarizing methods
Abstract. Currently, stochastic optimization on the one hand and multi-objective optimization on the other hand are rich and well-established special fields of Operations Research...
Walter J. Gutjahr, Alois Pichler
HIS
2007
9 years 9 months ago
Pareto-based Multi-Objective Machine Learning
—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...
Yaochu Jin
ANOR
2004
155views more  ANOR 2004»
9 years 7 months ago
Model-Based Search for Combinatorial Optimization: A Critical Survey
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...
Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Ma...
EVOW
2009
Springer
10 years 2 months ago
Stochastic Local Search Techniques with Unimodal Continuous Distributions: A Survey
In continuous black-box optimization, various stochastic local search techniques are often employed, with various remedies for fighting the premature convergence. This paper surve...
Petr Posík
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