Macro-cell and module placement by genetic adaptive search with bitmap-represented chromosome

@article{Chan1991MacrocellAM,
  title={Macro-cell and module placement by genetic adaptive search with bitmap-represented chromosome},
  author={Heming Chan and Pinaki Mazumder and Khushro Shahookar},
  journal={Integration},
  year={1991},
  volume={12},
  pages={49-77}
}
The genetic algorithm has been applied to the VLSI module placement problem. This algorithm is an iterative, evolutional approach. A placement configuration is represented by a set of primitive features such as location and orientation, and the features are arranged in the form of a two-dimensional bitmap chromosome. The representation is flexible, and can handle arbitrarily shaped cells, and pads, and is applicable to the placement of macro cells, and gate arrays. Three new versions of genetic… CONTINUE READING
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