Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique

Luis F. González, Eric J. Whitney, Jacques Périaux, Mourad Sefrioui, Karkenahalli Srinivas

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multi-objective and Multidisciplinary Design Optimisation (MDO) problems. Specifically we discuss the integration and implementation of a Hierarchical Asynchronous Evolutionary Algorithm (HAPEA) to solve complex engineering problems which can be multi-modal, involve non-linear approximations that are non-differentiable or involve multiple objectives. The algorithm is based upon traditional evolution strategies with the incorporation of an asynchronous function evaluation for the solution. The algorithm is adaptable for multiple population of EAs with variable fidelity models and use the concepts of Game Theory to handle multi-objective problems. Initially we give some examples of the performance of the algorithm for representative single and multi-objective analytical test functions, which involve multiple local minima, discontinuous Pareto fronts or constraints and then two cases related to aircraft design are analyzed. Result indicate that the method is robust and efficient on its application for real world problems.

Original languageEnglish
Title of host publicationEuropean Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004
EditorsP. Neittaanmäki, T. Rossi, K. Majava, O. Pironneau, I. Lasiecka
Place of PublicationJyväskylä, Finland
PublisherUniversity of Jyväskylä, Department of Mathematical Information Technology
Pages1-17
Number of pages17
ISBN (Electronic)9513918688, 9513918696
Publication statusPublished - 2004
EventEuropean Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004 - Jyvaskyla, Finland
Duration: 24 Jul 200428 Jul 2004

Other

OtherEuropean Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004
CountryFinland
CityJyvaskyla
Period24/07/0428/07/04

Keywords

  • Evolutionary design
  • Multi-objective optimisation
  • Parallel computing

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