Title | Start-up optimisation of a combined cycle power plant with multiobjective evolutionary algorithms |
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Publication Type | Articolo su Rivista peer-reviewed |
Year of Publication | 2010 |
Authors | Bertini, I., De Felice Matteo, Moretti F., and Pizzuti S. |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 6025 LNCS |
Pagination | 151-160 |
ISBN Number | 3642122418; 9783642122415 |
ISSN | 03029743 |
Keywords | Combined cycle power plants, Computer software, Decision makers, decision making, Evolutionary algorithms, Evolutionary computations, Multi objective evolutionary algorithms, Multiobjective approach, Multiobjective optimization, NSGA-II, NSGA-II algorithm, Optimisations, Pareto front, Pollution emissions, Software simulator, Start-ups |
Abstract | In this paper we present a study of the application of Evolutionary Computation methods to the optimisation of the start-up of a combined cycle power plant. We propose a multiobjective approach considering different objectives for the optimisation in order to reduce the pollution emissions and to maximise the efficiency of the plant. We compare a multiobjective evolutionary algorithm (NSGA-II) with 2 and 5 objectives on a software simulator and then we use different metrics to measure the performances. We show that NSGA-II algorithm is able to provide a set of solutions, defined as Pareto Front, that represent the best trade-off on the different objectives among those the decision maker can choose. © 2010 Springer-Verlag Berlin Heidelberg. |
Notes | cited By 2; Conference of EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, EvoApplications 2010 ; Conference Date: 7 April 2010 Through 9 April 2010; Conference Code:80274 |
URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952347902&doi=10.1007%2f978-3-642-12242-2-16&partnerID=40&md5=562fdbb193fe9abdde240cd11a622787 |
DOI | 10.1007/978-3-642-12242-2-16 |
Citation Key | Bertini2010151 |