Skip to main content
Log in

An improved GA for combinational logic expressions

  • Published:
Wuhan University Journal of Natural Sciences

Abstract

This paper discusses complete binary trees as chromosomes of Genetic Algorithm (GA), and proposes the concept of dominant and recessive genes. On the base of it, a new crossover operator with the selective ability was designed. Finally experimental results are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Goldberg D E.Genetic Algorithms in Search, Optimization and Machine Learning. MA: Addison-Wesley, 1989

    MATH  Google Scholar 

  2. Liu Young, Kang Lishan, Chen Yuping.Non-numeral Parallel Algorithm (The Second Book):Genetic Algorithm. Beijing: Science Press, 1995.

    Google Scholar 

  3. Hugo de Garis. Evolvable hardware workshop report. Technical report, Japan, ATR, October 1995

    Google Scholar 

  4. Shahookar K, Mazumder P. VLSI cell placement techniques.ACM Comp Surveys, 1991,23(2): 143–220

    Article  Google Scholar 

  5. A J Hirst. Notes on the evolution of adaptive hardware. In I Parmee, editor,Proc. of the 2nd Int. Conf. on adaptive Camputing in Engineering & Design (ACEDC96), 1996

  6. John R Koza.Genetic programming II. MIT press, 1994

  7. E J Gardener.Principles of Genetics, Beijing: Science Press. 1984

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Supported by the National Natural Science Foundation of China and State Education Committee Doctoral Foundation

Kang Lishan born in 1934, Professor

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lishan, K., Wei, H. An improved GA for combinational logic expressions. Wuhan Univ. J. Nat. Sci. 3, 17–20 (1998). https://doi.org/10.1007/BF02827505

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02827505

Key words

Navigation