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» Evolutionary algorithms and matroid optimization problems
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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
HIS
2008
13 years 9 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
14 years 1 months ago
Comparing Search Algorithms for the Temperature Inversion Problem
Several inverse problems exist in the atmospheric sciences that are computationally costly when using traditional gradient based methods. Unfortunately, many standard evolutionary ...
Monte Lunacek, L. Darrell Whitley, Philip Gabriel,...
CEC
2010
IEEE
12 years 11 months ago
Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison
— This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. ...
Gabriele Valentini, Luigi Malagò, Matteo Ma...
HM
2007
Springer
107views Optimization» more  HM 2007»
14 years 1 months ago
A Memetic Algorithm for the Optimum Communication Spanning Tree Problem
For the NP-hard Optimum Communication Spanning Tree (OCST) problem a cost minimizing spanning tree has to be found, where the cost depends on the communication volume between each ...
Thomas Fischer, Peter Merz