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Scaling up evolutionary programming algorithms

  • Xin Yao
  • Yong Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1447)

Abstract

Most analytical and experimental results on evolutionary programming (EP) are obtained using low-dimensional problems, e.g., smaller than 50. It is unclear, however, whether the empirical results obtained from the low-dimensional problems still hold for high-dimensional cases. This paper investigates the behaviour of four different EP algorithms for large-scale problems, i.e., problems whose dimension ranges from 100 to 300. The four are classical EP (CEP) [1, 2], fast EP (FEP).

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Xin Yao
    • 1
    • 2
  • Yong Liu
    • 1
    • 2
  1. 1.Computational Intelligence Group, School of Computer Science University CollegeThe University of New South WalesAustralia
  2. 2.Australian Defence Force AcademyCanberraAustralia

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