A graph-based algorithm for the multi-objective optimization of gene regulatory networks

@article{Nghe2018AGA,
  title={A graph-based algorithm for the multi-objective optimization of gene regulatory networks},
  author={P. Nghe and B. Mulder and S. Tans},
  journal={Eur. J. Oper. Res.},
  year={2018},
  volume={270},
  pages={784-793}
}
The evolution of gene regulatory networks in variable environments poses Multi-objective Optimization Problem (MOP), where the expression levels of genes must be tuned to meet the demands of each environment. When formalized in the context of monotone systems, this problem falls into a sub-class of linear MOPs. Here, the constraints are partial orders and the objectives consist of either the minimization or maximization of single variables, but their number can be very large. To efficiently and… Expand
3 Citations

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