Genetic learning for combinational logic design

@article{Louis2005GeneticLF,
  title={Genetic learning for combinational logic design},
  author={Sushil J. Louis},
  journal={Soft Comput.},
  year={2005},
  volume={9},
  pages={38-43}
}
This paper investigates the effect of injection percentage on the performance of a case-injected genetic algorithm for combinational logic design. A caseinjected genetic algorithm is a genetic algorithm augmented with a case-based memory of past problem solving attempts which learns to improve performance on sets of similar design problems. In this approach, rather than starting anew on each design, we periodically inject a genetic algorithm’s population with appropriate intermediate design… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 28 references

Louis . Learning from experience : Case injected genetic algorithm design of combinational logic circuits

J. Sushil
Proceedings of the Fifth International Conference on Adaptive Computing in Design and Manufacturing , page to appear • 2002

Using knowledge based evolutionary computation to solve machine constraint optimization problems : A cultural algorithm approach

Robert Reynolds
1999

Louis and J . Johnson . Solving similar problems using genetic algorithms and case - based memory

J. Sushil
Proceedings of the Seventh International Conference on Genetic Algorithms • 1997