A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives

Johnson, V., Duro, J., Kadirkamanathan, V. et al. (1 more author) (2023) A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives. In: Paquete, L., (ed.) Genetic and Evolutionary Computation Conference Companion (GECCO '23 Companion), July 15--19, 2023, Lisbon, Portugal. Genetic and Evolutionary Computation Conference (GECCO 2023), 15-19 Jul 2023, Lisbon, Portugal. Association for Computing Machinery , New York, NY, United States , pp. 1611-1619. ISBN 979-8-4007-0120-7

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Paquete, L.
Copyright, Publisher and Additional Information:

© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, https://doi.org/10.1145/3583133.3596414

Keywords: constrained optimization; multi-disciplinary design; collaborative optimization
Dates:
  • Published: 24 July 2023
  • Accepted: 3 May 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 26 Jul 2023 11:24
Last Modified: 26 Jul 2023 11:31
Status: Published
Publisher: Association for Computing Machinery
Refereed: Yes
Identification Number: 10.1145/3583133.3596414
Open Archives Initiative ID (OAI ID):

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