Integrated pre-design step methodology based on multi-objective evolutionary optimization

David Mosniert; Frédéric Gillot; Antoine Duclouxt; Mohamed Ichchou

doi:10.1145/1830483.1830721

Integrated pre-design step methodology based on multi-objective evolutionary optimization

David Mosniert
, Frédéric Gillot
, Antoine Duclouxt
, Mohamed Ichchou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we propose an integrated pre-design step framework using multiobjective evolutionary optimization and a decision support tool. The tailored genetic algorithm relies on specific fitness function which enables to deal with a high number of objectives. Moreover, surrogate models have been integrated so as to speed up objective functions evaluations which are usually expensive in case of mechanical product pre-design step. An automatic post-treatment of Pareto optimal solutions is proposed in order to synthesize a large multidimensional database into a restricted number of typings. This latter step is of particular importance since it affords designer a powerful decision support tool.

Original language	English
Title of host publication	Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
Pages	1317-1318
Number of pages	2
DOIs	https://doi.org/10.1145/1830483.1830721
Publication status	Published - 2010
Externally published	Yes
Event	12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010 - Portland, OR, United States Duration: 2010 Jul 7 → 2010 Jul 11

Publication series

Name	Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10

Other

Other	12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010
Country/Territory	United States
City	Portland, OR
Period	10/7/7 → 10/7/11

Keywords

Clustering
Decision support tool
Multiobjective evolutionary algorithm
Self organising maps
Specific fitness function
Surrogate modeling

ASJC Scopus subject areas

Computational Theory and Mathematics
Theoretical Computer Science

Access to Document

10.1145/1830483.1830721

Cite this

Mosniert, D., Gillot, F., Duclouxt, A., & Ichchou, M. (2010). Integrated pre-design step methodology based on multi-objective evolutionary optimization. In Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 (pp. 1317-1318). (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10). https://doi.org/10.1145/1830483.1830721

Integrated pre-design step methodology based on multi-objective evolutionary optimization. / Mosniert, David; Gillot, Frédéric; Duclouxt, Antoine et al.
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10. 2010. p. 1317-1318 (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mosniert, D, Gillot, F, Duclouxt, A & Ichchou, M 2010, Integrated pre-design step methodology based on multi-objective evolutionary optimization. in Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10. Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10, pp. 1317-1318, 12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010, Portland, OR, United States, 10/7/7. https://doi.org/10.1145/1830483.1830721

Mosniert D, Gillot F, Duclouxt A, Ichchou M. Integrated pre-design step methodology based on multi-objective evolutionary optimization. In Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10. 2010. p. 1317-1318. (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10). doi: 10.1145/1830483.1830721

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Integrated pre-design step methodology based on multi-objective evolutionary optimization

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Keywords

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