Hybridize , Hybridize and Hybridize Again

@inproceedings{Bersini2007HybridizeH,
  title={Hybridize , Hybridize and Hybridize Again},
  author={Hugues Bersini},
  year={2007}
}
These last years two global optimizations methods hybridizing Evolutionary Algorithms (EA, but mainly GA) with hill-climbing methods have been investigated. The first one involves two interwoven levels of optimization: Evolution (EA) and Individual Learning (hill-climbing), which cooperate in the global optimization process. The second one consists of modifying EA by the introduction of new genetic operators or by the alteration of traditional ones in such a way that these new operators reflect… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 18 references

A Case for Lamarckian Evolution

  • D. H. Ackley, M.L
  • Littmann,
  • 1993
Highly Influential
4 Excerpts

STEP : The Easiest Way to Optimize a Functionin Proceedings of the First IEEE Conference on Evolutionary Computation

  • S. Langerman
  • 1994

Optimizing with the Immune Recruitment Mechanism" - Technical Report - TR/IRIDIA/93-6

  • H. Bersini, G. Seront
  • 1993
1 Excerpt

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