Evaluating the performance of SHADE on CEC 2013 benchmark problems

@article{Tanabe2013EvaluatingTP,
  title={Evaluating the performance of SHADE on CEC 2013 benchmark problems},
  author={Ryoji Tanabe and Alex S. Fukunaga},
  journal={2013 IEEE Congress on Evolutionary Computation},
  year={2013},
  pages={1952-1959}
}
This paper evaluates the performance of Success-History based Adaptive DE (SHADE) on the benchmark set for the CEC2013 Competition on Real-Parameter Single Objective Optimization. SHADE is an adaptive differential algorithm which uses a history-based parameter adaptation scheme. Experimental results on 28 problems from the CEC2013 benchmarks for 10, 30, and 50 dimensions are presented, including measurements of algorithmic complexity. In addition, we investigate the parameter adaptation… CONTINUE READING
Highly Influential
This paper has highly influenced 16 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 77 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 48 extracted citations

78 Citations

01020'13'14'15'16'17'18
Citations per Year
Semantic Scholar estimates that this publication has 78 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 17 references

Problem definitions and evaluation criteria for the cec 2013 special session on real-parameter optimization

  • J. J. Liang, B. Y. Qu, P. N. Suganthan, A. G. Hernández-Dı́az
  • Nanyang Technological University, Tech. Rep…
  • 2013
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…