Adaptive Multiobjective Memetic Optimization

@article{Dang2016AdaptiveMM,
  title={Adaptive Multiobjective Memetic Optimization},
  author={Hieu V. Dang and Witold Kinsner},
  journal={Int. J. Cogn. Informatics Nat. Intell.},
  year={2016},
  volume={10},
  pages={21-58}
}
  • H. V. Dang, W. Kinsner
  • Published 1 October 2016
  • Computer Science
  • Int. J. Cogn. Informatics Nat. Intell.
Multiobjective memetic optimization algorithms MMOAs are recently applied to solve nonlinear optimization problems with conflicting objectives. An important issue in an MMOA is how to identify the relative best solutions to guide its adaptive processes. In this paper, the authors introduce a framework of adaptive multiobjective memetic optimization algorithms AMMOA with an information theoretic criterion for guiding the adaptive selection, clustering, local learning processes, and a robust… 
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