Optimizing the start-up operations of combined cycle power plants using soft computing methods

Ilaria Bertini, Matteo De Felice, Alessandro Pannicelli, Stefano Pizzuti

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3 Citations (Scopus)


In this article we present a study on the application of soft computing methods for the start-up optimization of a combined cycle power plant. In particular, we use fuzzy sets in order to get a fitness function providing the effectiveness in the lattice [0, 1] (zero bad, one excellent) of the given start-up regulations. Then we applied a genetic algorithm to find the best start-up regulations. Experimentation shows that the solution found remarkably improves the solution given by the process experts. © 2011 The Author. Published by Oxford University Press. All rights reserved.
Original languageEnglish
Pages (from-to)648 - 656
Number of pages9
JournalLogic Journal of the IGPL
Issue number4
Publication statusPublished - Aug 2012
Externally publishedYes


All Science Journal Classification (ASJC) codes

  • Philosophy

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