Evaluating the CMA Evolution Strategy on Multimodal Test Functions

  title={Evaluating the CMA Evolution Strategy on Multimodal Test Functions},
  author={Nikolaus Hansen and Stefan Kern},
In this paper the performance of the CMA evolution strategy with rank-μ-update and weighted recombination is empirically investigated on eight multimodal test functions. In particular the effect of the population size λ on the performance is investigated. Increasing the population size remarkably improves the performance on six of the eight test functions. The optimal population size takes a wide range of values, but, with one exception, scales sub-linearly with the problem dimension. The… CONTINUE READING
Highly Influential
This paper has highly influenced 62 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 637 citations. REVIEW CITATIONS
322 Citations
9 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 322 extracted citations

638 Citations

Citations per Year
Semantic Scholar estimates that this publication has 638 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…