Computational design optimization

Computational design optimization is based on the idea of exploiting the power of computer simulations and optimization in the design process.

The primary objective of the research group in computational design optimization is to develop and analyze methods comprising physics based mathematical modeling, computer simulations, and optimization. The purpose is to find the particular shape or material arrangement of an object that yields the most favorable performance. Presently, we focus particularly on problems and situations where the measure of performance involves acoustic or electromagnetic wave propagation effects. We also consider problems that, from a methodological perspective, are closely related to design optimization, for example off-line optimal control problems and inverse problems, that is, the problem of determining properties of a system from observations.

The core competence of the group lies within the scientific computing aspects of design optimization. However the group members work with and make contributions to the whole chain of activities needed for successful results: mathematical modelling of the physical system, discretization of the mathematical problem, construction of suitable numerical methods, and efficient implementations of the algorithms. Moreover, we have also carried out work on experimental assessment of the optimized designs on manufactured prototypes.

Page Editor: Martin Servin

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Keywords: numerical methods for partial differential equations, finite element methods

Projects: Topology optimization for fluids and waves, Inverse problems in electromagnetics, Optimal Control and Design

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Prof Martin Berggren
Dr Eddie Wadbro
Dr Daniel Noreland
Fotios Kasolis
Emadeldeen Hassan
Esubalewe Yedeg
Ugis Lacis


Martin Berggren