Multi-objective differential evolution - algorithm, convergence analysis, and applications

@article{Xue2005MultiobjectiveDE,
  title={Multi-objective differential evolution - algorithm, convergence analysis, and applications},
  author={Feng Xue and Arthur C. Sanderson and Robert J. Graves},
  journal={2005 IEEE Congress on Evolutionary Computation},
  year={2005},
  volume={1},
  pages={743-750 Vol.1}
}
The revival of multi-objective optimization (MOO) is mostly due to the recent development of evolutionary multi-objective optimization that allows the generation of the whole Pareto optimal front. Several evolutionary algorithms have been developed for this purpose. This paper focuses on the recent development of differential evolution (DE) algorithms for the multi-objective optimization purposes. Although there are a few other papers on the extension of DE concept to the MOO domain, this paper… CONTINUE READING
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