Multi-objective evolutionary optimization of subsonic airfoils by kriging approximation and evolution control

S. D'Angelo, E.A. Minisci

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

11 Citations (Scopus)

Abstract

This work focuses on multi-objective evolutionary optimization by approximation function. It uses the new general concept of evolution control to on-line enriching the database of correct solutions, which are the basis of the learning procedure for the kriging approximators. Substantially, given an initial very poor model approximation (small size of the database), the database, and consequently the models, is enriched by evaluating part of the individuals of the optimization process. The technique showed being efficient for the considered aerodynamic problem, by requiring few hundreds of true computations when the dimensionality of the problem is 5.

Original languageEnglish
Title of host publication2005 IEEE Congress on Evolutionary Computation - Proceedings
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1262-1267
Number of pages6
ISBN (Print)0780393635
DOIs
Publication statusPublished - 12 Dec 2005
Event2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom
Duration: 2 Sep 20055 Sep 2005

Conference

Conference2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
CountryUnited Kingdom
CityEdinburgh, Scotland
Period2/09/055/09/05

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Keywords

  • optimization
  • kriging approximation
  • aerodynamics

Cite this

D'Angelo, S., & Minisci, E. A. (2005). Multi-objective evolutionary optimization of subsonic airfoils by kriging approximation and evolution control. In 2005 IEEE Congress on Evolutionary Computation - Proceedings (pp. 1262-1267). Piscataway, NJ: IEEE. https://doi.org/10.1109/CEC.2005.1554835