Configurational optimizer of combined cycle propulsion using genetic programming

Alessandro Mogavero

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

In most engineering applications the optimization is employed after the conceptual design is already frozen with the only purpose of perfecting it. Although optimization algorithms capable of optimizing the configuration exist, their application is limited to electronics or control design, while for complex systems the conceptual design is often performed with manual trade off analyses among few options.

Original languageEnglish
Title of host publication2016 IEEE Symposium Series on Computational Intelligence, (SSCI)
Place of PublicationPiscataway
ISBN (Electronic)9781509042401
DOIs
Publication statusPublished - 13 Feb 2017
Event2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 - Royal Olympic Hotel, Athens, Greece
Duration: 6 Dec 20169 Dec 2016
http://ssci2016.cs.surrey.ac.uk/

Conference

Conference2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
Abbreviated titleSSCI 2016
CountryGreece
CityAthens
Period6/12/169/12/16
Internet address

Keywords

  • combined cycle
  • propulsion system modelling
  • genetic programming
  • automated design
  • engines
  • optimization
  • object oriented modeling
  • rockets

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  • Cite this

    Mogavero, A. (2017). Configurational optimizer of combined cycle propulsion using genetic programming. In 2016 IEEE Symposium Series on Computational Intelligence, (SSCI) [7850102]. https://doi.org/10.1109/SSCI.2016.7850102