A hybrid genetic pattern search augmented Lagrangian method for constrained global optimization

@article{Costa2012AHG,
  title={A hybrid genetic pattern search augmented Lagrangian method for constrained global optimization},
  author={Lino A. Costa and Isabel A. Esp{\'i}rito-Santo and Edite M. G. P. Fernandes},
  journal={Applied Mathematics and Computation},
  year={2012},
  volume={218},
  pages={9415-9426}
}
Hybridization of genetic algorithms with local search approaches can enhance their performance in global optimization. Genetic algorithms, as most population based algorithms, require a considerable number of function evaluations. This may be an important drawback when the functions involved in the problem are computationally expensive as it occurs in most real world problems. Thus, in order to reduce the total number of function evaluations, local and global techniques may be combined… CONTINUE READING
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V.Torczon, A globally convergent augmented Lagrangian pattern search algorithm for optimization with general constraints and simple bounds

  • R. M. Lewis
  • SIAM Journal on Optimization,
  • 2002
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