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GECCO
2003
Springer
101views Optimization» more  GECCO 2003»
15 years 11 months ago
An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem
This paper analyzes the performance of a genetic algorithm that utilizes tournament selection, one-point crossover, and a reordering operator. A model is proposed to describe the c...
Ying-Ping Chen, David E. Goldberg
RSKT
2009
Springer
15 years 10 months ago
A Time-Reduction Strategy to Feature Selection in Rough Set Theory
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Fe...
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 10 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
PPSN
1994
Springer
15 years 10 months ago
Convergence Models of Genetic Algorithm Selection Schemes
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
Dirk Thierens, David E. Goldberg
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
15 years 9 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu