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.
All Science Journal Classification (ASJC) codes
Bertini, I., De Felice, M., Pannicelli, A., & Pizzuti, S. (2012). Optimizing the start-up operations of combined cycle power plants using soft computing methods. Logic Journal of the IGPL, 20(4), 648 - 656. https://doi.org/10.1093/jigpal/jzr013