Sur les problèmes d'optimisation structurelle
Neittaanmäki, P., Liu, W., & Tiba, D. (2000). Sur les problèmes d'optimisation structurelle. C. R. Acad. Sci. Paris Sér. I Math., 331(1), 101-106.
Published in
C. R. Acad. Sci. Paris Sér. I Math.Date
2000Access restrictions
Copyright
© Éditions scientifiques et médicales Elsevier SAS
We discuss existence theorems for shape optimization and material distribution problems. The conditions that we impose on the unknown sets are continuity of the boundary, respectively a certain measurability hypothesis.
Publisher
ElsevierISSN Search the Publication Forum
0764-4442Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/18275601
Metadata
Show full item recordCollections
License
Related items
Showing items with similar title or keywords.
-
Surrogate-Assisted Evolutionary Optimization of Large Problems
Chugh, Tinkle; Sun, Chaoli; Wang, Handing; Jin, Yaochu (Springer, 2020)This chapter presents some recent advances in surrogate-assisted evolutionary optimization of large problems. By large problems, we mean either the number of decision variables is large, or the number of objectives is ... -
A feature rich distance-based many-objective visualisable test problem generator
Fieldsend, Jonathan; Chugh, Tinkle; Allmendinger, Richard; Miettinen, Kaisa (ACM, 2019)In optimiser analysis and design it is informative to visualise how a search point/population moves through the design space over time. Visualisable distance-based many-objective optimisation problems have been developed ... -
Flexible data driven inventory management with interactive multiobjective lot size optimization
Heikkinen, Risto; Sipilä, Juha; Ojalehto, Vesa; Miettinen, Kaisa (Inderscience Publishers, 2023)We study data-driven decision support and formalise a path from data to decision making. We focus on lot sizing in inventory management with stochastic demand and propose an interactive multi-objective optimisation approach. ... -
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature
Rahat, Alma; Chugh, Tinkle; Fieldsend, Jonathan; Allmendinger, Richard; Miettinen, Kaisa (Springer International Publishing, 2022)Many methods for performing multi-objective optimisation of computationally expensive problems have been proposed recently. Typically, a probabilistic surrogate for each objective is constructed from an initial dataset. ... -
Towards Better Integration of Surrogate Models and Optimizers
Chugh, Tinkle; Rahat, Alma; Volz, Vanessa; Zaefferer, Martin (Springer, 2020)Surrogate-Assisted Evolutionary Algorithms (SAEAs) have been proven to be very effective in solving (synthetic and real-world) computationally expensive optimization problems with a limited number of function evaluations. ...