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» A multiobjective GRASP for rule selection
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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
13 years 8 months ago
A multiobjective GRASP for rule selection
Alan P. Reynolds, David W. Corne, Beatriz de la Ig...
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
13 years 8 months ago
Multiobjective genetic rule selection as a data mining postprocessing procedure
In this paper, we show the usefulness of multiobjective genetic rule selection as a postprocessing procedure in data mining for pattern classification problems. First we extract a...
Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
EMO
2006
Springer
120views Optimization» more  EMO 2006»
13 years 6 months ago
Rule Induction for Classification Using Multi-objective Genetic Programming
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...
Alan P. Reynolds, Beatriz de la Iglesia
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
13 years 10 months ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
PPSN
1998
Springer
13 years 9 months ago
A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
Marco Laumanns, Günter Rudolph, Hans-Paul Sch...