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Abstract: Feature selection is a common and key problem in many classification and regression tasks. It can be viewed as a multiobjective optimisation problem, since, in the simplest case, it involves feature subset size minimisation and performance maximisation. This paper presents a multiobjective evolutionary approach for feature selection. A novel commonality-based crossover operator is introduced and placed in the multiobjective evolutionary setting. This specialised operator helps to preserve... (Update)
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BibTeX entry: (Update)
C. Emmanouilidis, A. Hunter, and J. MacIntyre. A Multiobjective Evolutionary Setting for Feature Selection and a Commonality-Based Crossover Operator. In 2000 Congress on Evolutionary Computation, volume 1, pages 309-316, Piscataway, New Jersey, July 2000. IEEE Service Center. http://citeseer.ist.psu.edu/emmanouilidis00multiobjective.html More
@inproceedings{ emmanouilidis00multiobjective,
author = "C. Emmanouilidis and A. Hunter and J. MacIntyre",
title = "A Multiobjective Evolutionary Setting for Feature Selection and a Commonality-Based Crossover Operator",
booktitle = "Proceedings of the 2000 Congress on Evolutionary Computation CEC00",
month = "6-9",
publisher = "IEEE Press",
address = "La Jolla Marriott Hotel La Jolla, California, USA",
isbn = "0-7803-6375-2",
pages = "309--316",
year = "2000",
url = "citeseer.ist.psu.edu/emmanouilidis00multiobjective.html" }
Citations (may not include all citations):342 Wrappers for feature subset selection - Kohavi, John - 1997
191 An overview of evolutionary algorithms in multiobjective opt.. - Fonseca, Fleming - 1995
127 A niched Pareto genetic algorithm for multiobjective optimiz.. - Horn, Nafpliotis et al. - 1994
113 Analysis of hidden units in a layered network trained to cla.. (context) - Gorman, Sejnowski - 1988
105 Probabilistic neural networks (context) - Specht - 1990
101 Multiobjective evolutionary algorithms: a comparative case s.. - Zitzler, Thiele - 1999
88 Floating search methods in feature selection (context) - Pudil, Novovicova et al. - 1994
84 Feature subset selection using a genetic algorithm - Yang, Honavar - 1998
77 UCI repository of machine learning databases. http://www.ics.. (context) - Blake, Keogh et al. - 1998
51 A note on genetic algorithms for large-scale feature selecti.. (context) - Siedlecki, Sklansky - 1989
39 Preventing Premature Convergence in Genetic Algorithms by Pr.. (context) - Eshelman, Schaffer - 1991
33 Feature selection: evaluation, application, and small sample.. (context) - Jain, Zongker - 1997
30 An updated survey of evolutionary multiobjective optimizatio.. - Coello - 1999
22 Parameter control in evolutionary algorithms - Eiben, Michalewicz - 1999
22 Hybrid learning using genetic algorithms and decision trees .. - Bala, Huang et al. - 1995
8 Your brains and my beauty: parent matching for constrained o.. - Hinterding, Michalewicz - 1998
7 Comparing Subset Regression Procedures (context) - Berk - 1978
5 Genetic Search for Feature Subset Selection: A Comparison Be.. (context) - Guerra-Salcedo, Whitley - 1998
4 Introducing a New Advantage of Crossover: Commonality-Based .. - Chen, Smith - 1999
4 Non-Standard Crossover for a Standard Representation -- Comm.. - Chen, Guerra-Salcedo et al. - 1999
2 Subset selection in regression: Chapman and Hall (context) - Miller - 1990
2 Selecting Features in Neurofuzzy Modelling Using Multiobject.. (context) - Emmanouilidis, Hunter et al. - 1999
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