Topics
optimizationCultivar (cultivated variety)
finite elementTopical concept
International audienceIn this paper, a probabilistic approach is proposed to solve the robust design optimization problem of complex dynamical systems not only with respect to system parameters uncertainties but also to model uncertainties. The possible designs are represented by a numerical finite element model whose parameters belong to an admissible set of design parameters. A recent nonparametric probabilistic model of uncertainties is used for taking into account model uncertainties and data uncertainties. The robust design optimization problem is formulated as a multi-objective optimization problem which consist to minimize a cost function including a target with respect to an admissible set of design parameters. The theory is present...
In engineering problems, the randomness and uncertainties are inherent and the scatter of structural...
In design and optimization problems, a solution which is stable enough in its variability in presenc...
Current advances in the fi eld of Robust Optimization (RO) from such authors as Azarm, Ben-Tal, Elis...
In computational mechanics of complex dynamical systems, robust design consists in finding designs o...
International audienceThe motivation of this paper is to propose a methodology for analyzing the rob...
The problem of robust design optimization consists in the search for technical solutions that can be...
In this paper a framework for robust optimization of mechanical design problems and process systems ...
Within the robust design optimization, the statistical variability of the design parameter is consid...
Within the robust design optimization, the statistical variability of the design parameter is consid...
International audienceThis paper proposes a guide to help designer to formulate the optimization und...
International audienceThis paper deals with the design optimization problem of a structural -acousti...
This paper presents a study on the optimization of systems with structured uncertainties, whose inpu...
AbstractThe data of real-world optimization problems are usually uncertain, that is especially true ...
International audienceThis research is devoted to the robust design of multibody dynamical systems, ...
In traditional robust design techniques, one is concerned with minimizing the variation in the syste...
In engineering problems, the randomness and uncertainties are inherent and the scatter of structural...
In design and optimization problems, a solution which is stable enough in its variability in presenc...
Current advances in the fi eld of Robust Optimization (RO) from such authors as Azarm, Ben-Tal, Elis...
In computational mechanics of complex dynamical systems, robust design consists in finding designs o...
International audienceThe motivation of this paper is to propose a methodology for analyzing the rob...
The problem of robust design optimization consists in the search for technical solutions that can be...
In this paper a framework for robust optimization of mechanical design problems and process systems ...
Within the robust design optimization, the statistical variability of the design parameter is consid...
Within the robust design optimization, the statistical variability of the design parameter is consid...
International audienceThis paper proposes a guide to help designer to formulate the optimization und...
International audienceThis paper deals with the design optimization problem of a structural -acousti...
This paper presents a study on the optimization of systems with structured uncertainties, whose inpu...
AbstractThe data of real-world optimization problems are usually uncertain, that is especially true ...
International audienceThis research is devoted to the robust design of multibody dynamical systems, ...
In traditional robust design techniques, one is concerned with minimizing the variation in the syste...
In engineering problems, the randomness and uncertainties are inherent and the scatter of structural...
In design and optimization problems, a solution which is stable enough in its variability in presenc...
Current advances in the fi eld of Robust Optimization (RO) from such authors as Azarm, Ben-Tal, Elis...
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