Evolve Schema Directly Using Instruction Matrix Based Genetic Programming

  • Gang Li
  • Kin Hong Lee
  • Kwong Sak Leung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3447)


This paper proposes a new architecture for tree-based genetic programming to evolve schema directly. It uses fixed length hs-expressions to represent program trees, keeps schema information in an instruction matrix, and extracts individuals from it. In order to manipulate the instruction matrix and the hs-expression, new genetic operators and new matrix functions are developed. The experimental results verify that its results are better than those of the canonical genetic programming on the problems tested in this paper.


IMGP hs-expression instruction matrix schema evolution Genetic Programming 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gang Li
    • 1
  • Kin Hong Lee
    • 1
  • Kwong Sak Leung
    • 1
  1. 1.Department of Computer Science and EngineeringThe Chinese University of Hong KongShatin, N.T., Hong Kong

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