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ICDAR
2003
IEEE
13 years 10 months ago
Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach
Feature selection for ensembles has shown to be an effective strategy for ensemble creation. In this paper we present an ensemble feature selection approach based on a hierarchica...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
VLSID
2006
IEEE
112views VLSI» more  VLSID 2006»
13 years 11 months ago
Handling Constraints in Multi-Objective GA for Embedded System Design
Design space exploration is central to embedded system design. Typically this is a multi-objective search problem, where performance, power, area etc. are the different optimizati...
Biman Chakraborty, Ting Chen, Tulika Mitra, Abhik ...
SAC
2009
ACM
13 years 11 months ago
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
Márcio P. Basgalupp, Rodrigo C. Barros, And...
CEC
2007
IEEE
13 years 11 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
IFSA
2007
Springer
138views Fuzzy Logic» more  IFSA 2007»
13 years 11 months ago
Optimization to Manage Supply Chain Disruptions Using the NSGA-II
Disruption on a supply chain provokes lost that should be minimized looking for alternative suppliers. This solution involves a strategy to manage the impact of the disruption and ...
Víctor Serrano, Matías Alvarado, Car...