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Simulated Evolution and Learning: An Introduction

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References

  1. K.-H. Liang, X. Yao, Y. Liu, C. Newton, and D. Hoffman, “An experimental investigation of self-adaptation in evolutionary programming,” in Evolutionary Programming VII: Proc. of the 7th Annual Conference on Evolutionary Programming, edited by V.W. Porto, N. Saravanan, D.Waagen, and A. E. Eiben, vol. 1447 of Lecture Notes in Computer Science, pp. 755-764, Springer-Verlag: Berlin, 1998.

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  2. D.H. Wolpert and W.G. Macready, “No free lunch theorems for optimization,” IEEE Transactions on Evolutionary Computation, vol. 1, no. 1, pp. 67-82, 1997.

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Authors and Affiliations

  1. School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK

    Xin Yao

  2. School of Computer Science, University College, The University of New South Wales, Australian Defence Force Academy, Canberra, ACT 2600, Australia

    Robert I. McKay

Authors
  1. Xin Yao
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  2. Robert I. McKay
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Yao, X., McKay, R.I. Simulated Evolution and Learning: An Introduction. Applied Intelligence 15, 151–152 (2001). https://doi.org/10.1023/A:1011288128914

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  • DOI: https://doi.org/10.1023/A:1011288128914

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