Challenges in Individual Representation of GP Classification

Autor/innen

  • 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,

Schlagwörter:

genetic programming, data mining, classification, classification issues

Abstract

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. 

Autor/innen-Biografien

  • Venkatadri M., University of Petroleum and Energy Studies, Dehradun.
    Centre for Information Technology,Assistant Professor
  • Hanumat Sastry G, University of Petroleum and Energy Studies, Dehradun.
     Centre for Information Technology,Assistant Professor
  • Dr. Lokanatha C. Reddy, Dravidian University, Kuppam,
    Department of Computer Science, Professor

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Veröffentlicht

2013-05-02

Ausgabe

Bd. 4 Nr. 1 (2013)

Rubrik

Research Articles

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