GA-based design-point performance adaptation and its comparison with ICM-based approach

@inproceedings{Li2010GAbasedDP,
  title={GA-based design-point performance adaptation and its comparison with ICM-based approach},
  author={Ying Guang Li and Pericles Pilidis},
  year={2010}
}
Article history: Received 18 February 2009 Received in revised form 17 April 2009 Accepted 19 May 2009 Available online xxxx 
BETA

References

Publications referenced by this paper.
SHOWING 1-8 OF 8 REFERENCES

An genetic algorithm approach to estimate performance status of gas turbines

  • YG Li
  • ASME GT2008-50175, ASME Turbo Expo
  • 2008
1 Excerpt

Isle of man plant has novel design

  • E. Jeffs
  • Int Turbomach
  • 2004
1 Excerpt

Genetic algorithms in search, optimization and machine learning

  • DE Goldberg
  • Addison Wesley Publishing Company Inc.;
  • 1989
2 Excerpts

Similar Papers

Loading similar papers…