Analyzing convergence performance of evolutionary algorithms: A statistical approach

@article{Derrac2014AnalyzingCP,
  title={Analyzing convergence performance of evolutionary algorithms: A statistical approach},
  author={Joaqu{\'i}n Derrac and Salvador Garc{\'i}a and Sheldon Hui and Ponnuthurai Nagaratnam Suganthan and Francisco Herrera},
  journal={Inf. Sci.},
  year={2014},
  volume={289},
  pages={41-58}
}
The analysis of the performance of different approaches is a staple concern in the design of Computational Intelligence experiments. Any proper analysis of evolutionary optimization algorithms should incorporate a full set of benchmark problems and state-of-the-art comparison algorithms. For the sake of rigor, such an analysis may be completed with the use of statistical procedures, supporting the conclusions drawn. In this paper, we point out that these conclusions are usually limited to the… CONTINUE READING
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