Multi-objective immune algorithm with Baldwinian learning

@article{Qi2012MultiobjectiveIA,
  title={Multi-objective immune algorithm with Baldwinian learning},
  author={Yutao Qi and Fang Liu and Meiyun Liu and Maoguo Gong and Licheng Jiao},
  journal={Appl. Soft Comput.},
  year={2012},
  volume={12},
  pages={2654-2674}
}
By replacing the selection component, a well researched evolutionary algorithm for scalar optimization problems (SOPs) can be directly used to solve multi-objective optimization problems (MOPs). Therefore, in most of existing multi-objective evolutionary algorithms (MOEAs), selection and diversity maintenance have attracted a lot of research effort. However, conventional reproduction operators designed for SOPs might not be suitable for MOPs due to the different optima structures between them… CONTINUE READING
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