Optimization of Cost Functions Using Evolutionary Algorithms With Local Learning and Local Search

@article{Guimaraes2006OptimizationOC,
  title={Optimization of Cost Functions Using Evolutionary Algorithms With Local Learning and Local Search},
  author={F. G. Guimaraes and Felipe Campelo and Hajime Igarashi and D A Lowther and J. Ramirez},
  journal={2006 12th Biennial IEEE Conference on Electromagnetic Field Computation},
  year={2006},
  pages={166-166}
}
Evolutionary algorithms can benefit from their association with local search operators, giving rise to hybrid or memetic algorithms. The cost of the local search may be prohibitive, particularly when dealing with computationally expensive functions. We propose the use of local approximations in the local search phase of memetic algorithms for optimization of cost functions. These local approximations are generated using only information already collected by the algorithm during the evolutionary… CONTINUE READING

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