A4 Article in conference proceedings
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm (2019)


Chugh, T., Kratky, T., Miettinen, K., Jin, Y., & Makkonen, P. (2019). Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm. In GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1147-1155). New York: ACM. doi:10.1145/3321707.3321745


JYU authors or editors


Publication details

All authors or editors: Chugh, Tinkle; Kratky, Tomas; Miettinen, Kaisa; Jin, Yaochu; Makkonen, Pekka

Parent publication: GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference

ISBN: 978-1-4503-6111-8

Publication year: 2019

Pages range: 1147-1155

Number of pages in the book: 1545

Publisher: ACM

Place of Publication: New York

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1145/3321707.3321745

Open Access: Publication channel is not openly available

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/65085

Additional information: GECCO '19 : Genetic and Evolutionary Computation Conference. Prague, Czech Republic — July 13-17, 2019.


Keywords: multi-objective optimisation; machine learning; modelling (creation related to information); form and shape; Pareto efficiency; ventilation systems

Free keywords: evolutionary multi-objective optimization; optimal shape design; computational costs; metamodels; multiple criteria decision making; Pareto optimality; preference information


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Related projects


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 1


Last updated on 2020-18-10 at 21:45