A Clustering Based Niching EA for Multimodal Search Spaces

@inproceedings{Streichert2003ACB,
  title={A Clustering Based Niching EA for Multimodal Search Spaces},
  author={Felix Streichert and Gunnar Stein and Holger Ulmer and Andreas Zell},
  booktitle={Artificial Evolution},
  year={2003}
}
We propose a new niching method for Evolutionary Algorithms which is able to identify and track global and local optima in a multimodal search space. To prevent the loss of diversity we replace the global selection pressure within a single population by local selection of a multi-population strategy. The sub-populations representing species specialized on niches are dynamically identified using standard clustering algorithms on a primordial population. With this multi-population strategy we are… CONTINUE READING
44 Citations
25 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 44 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 25 references

A hybrid approach to global optimization using a clustering algorithm in a genetic search framework

  • V. Hanagandi, M. Nikolaou
  • Computers and Chemical Engineering,
  • 1998
1 Excerpt

Handbook of Evolutionary Computation

  • T. Baeck, D. Fogel, Z. Michalewicz, editors
  • Institute of Physics Publishing,
  • 1997

Similar Papers

Loading similar papers…