NDLI: Optimal classifier design method using hierarchical fair competition model based parallel genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Heesung Lee Sungjun Hong Euntai Kim
Copyright Year	2009
Description	Author affiliation: School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center (BERC), Seoul, Korea (Heesung Lee; Sungjun Hong; Euntai Kim)
Abstract	By the appropriate editing of the reference set and the judicious selection of features, we can obtain optimal classifier which maximizes the classification accuracy while saving computational time and memory resources. In this paper, a new simultaneous reference set editing and feature selection for an optimal classifier is proposed. Genetic algorithm (GA) based simultaneous editing of the reference set and feature selection to design optimal classifier is receiving attention. However, the problem to find an optimal classifier has very large search spaces. Compared with the simple genetic algorithm (SGA), the hierarchical fair competition parallel genetic algorithm (HFC-PGA) exhibits a promising performance when dealing with huge search spaces, high-dimensionality, and multimodality of the search problems. Therefore, we develop a design methodology for optimal classifier, which deals with simultaneous reference set editing and feature selection using HFC-PGA. Experiments are performed with UCI machine learning repository to show the performance of the proposed algorithm.
Starting Page	2907
Ending Page	2910
File Size	199978
Page Count	4
File Format	PDF
ISBN	9784907764340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Design methodology Genetic algorithms Algorithm design and analysis Search problems Machine learning Genetic engineering Design engineering Electronics packaging Pattern recognition Biometrics UCI machine learning repository Classifier design Parallel genetic algorithm (PGA) Hierarchical fair competition-based parallel genetic algorithm (HFC-PGA)
Content Type	Text
Resource Type	Article

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