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A feasible-ratio control technique for constrained optimization

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FRC-CEA

A feasible-ratio control technique for constrained optimization


  • This is the FRC-CEA in python 2.7 for Windows.
  • This program is coded by the evolutionary computation group in China University of Geosciences.
  • All the problems are in the directory PROBLEM, and the results will be put in the directory RESULT by the program.
  • The algorithm starts by if name == 'main' in the file main.py:
  • (1) import the problem you want to solve (i.e., import g02, g03)
  • (2) put the problem in list of module that you want to run (i.e, module = [g02])
  • (3) You can change the total number of independent runs (i.e., t = 25)
  • If you want to modify the parameter setting, please open the conf.py, and change
  • (1) the maximum number of generaions (i.e., K=2400)
  • (2) population size (i.e., popsize=100)

Acknowledge

Please kindly cite this paper in your publications if it helps your research:

@article{jiao2019feasible,
  title={A feasible-ratio control technique for constrained optimization},
  author={Jiao, Ruwang and Zeng, Sanyou and Li, Changhe},
  journal={Information Sciences},
  volume={502},
  pages={201--217},
  year={2019},
  publisher={Elsevier}
}

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