Challenges in Individual Representation of GP Classification

作者

  • Venkatadri M. University of Petroleum and Energy Studies, Dehradun.
  • Hanumat Sastry G University of Petroleum and Energy Studies, Dehradun.
  • Dr. Lokanatha C. Reddy Dravidian University, Kuppam,

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genetic programming##common.commaListSeparator## data mining##common.commaListSeparator## classification##common.commaListSeparator## classification issues

摘要

Genetic Programming (GP) is an evolutionary programming strategy that automatically solves complex problems through computer programs. The field of Data Mining has got engrossed towards GP, due to its advantages in automatic evolution of programs with optimized solutions without prior knowledge on data. The classification technique is among the most studied Data Mining task through GP. GP, despite being used for classification for long time due to its numerous outstanding abilities, still suffers from certain limitations. Hence, this paper focuses on various Individual Representation challenges of GP Classification. 

作者簡介

  • ##submission.authorWithAffiliation##
    Centre for Information Technology,Assistant Professor
  • ##submission.authorWithAffiliation##
     Centre for Information Technology,Assistant Professor
  • ##submission.authorWithAffiliation##
    Department of Computer Science, Professor

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出版日期

2013-05-02

期號

卷 4 期 1 (2013)

分類

Research Articles

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