This paper proposes an interval uncertain multi-objective optimisation (IUMOO) method for structures with uncertain-but-bounded parameters. An adaptive Kriging model is established to improve the computational efficiency and numerical accuracy in the approximation of design functions. Latin Hypercube Design (LHD) is applied to achieve a set of sampling points both in the design and uncertain spaces for calibrating the Kriging surrogate model. The interval number programming method is used to transform the uncertain optimisation into a corresponding deterministic multi-objective optimisation. Typical numerical examples are used to demonstrate the effectiveness of the proposed methodology
This item provides an example software implementation of a novel interval uncertainty formulation fo...
The aim of this paper is to introduce an efficient and accurate new approach called Monte Carlo and ...
The current trend of design methodologies is to make engineers objectify or automate the decision-ma...
© 2014 Elsevier Ltd. All rights reserved. This paper proposes a new non-probabilistic interval uncer...
Conventional methods addressing the robust design optimization problem of structures usually require...
AbstractConventional methods addressing the robust design optimization problem of structures usually...
© Springer International Publishing Switzerland 2015. This paper proposes a new design optimization ...
The finite element method is a useful tool to predict the behaviour of a structure under static and ...
This article proposes an uncertain multi-objective multidisciplinary design optimization methodology...
Explicitly accounting for uncertainties is paramount to the safety of engineering structures. Optimi...
Abstract: In this study, a robust optimization method is proposed by introducing the Kriging approxi...
Optimal design under uncertainty has gained much attention in the past ten years due to the ever inc...
This paper studies the reliability-based multiobjective optimization by using a new interval strateg...
This thesis aims at Multi-Objective Optimization under Uncertainty in structural design. We investig...
Μulti-objective design problems with probabilistic objectives estimated through stochastic simulatio...
This item provides an example software implementation of a novel interval uncertainty formulation fo...
The aim of this paper is to introduce an efficient and accurate new approach called Monte Carlo and ...
The current trend of design methodologies is to make engineers objectify or automate the decision-ma...
© 2014 Elsevier Ltd. All rights reserved. This paper proposes a new non-probabilistic interval uncer...
Conventional methods addressing the robust design optimization problem of structures usually require...
AbstractConventional methods addressing the robust design optimization problem of structures usually...
© Springer International Publishing Switzerland 2015. This paper proposes a new design optimization ...
The finite element method is a useful tool to predict the behaviour of a structure under static and ...
This article proposes an uncertain multi-objective multidisciplinary design optimization methodology...
Explicitly accounting for uncertainties is paramount to the safety of engineering structures. Optimi...
Abstract: In this study, a robust optimization method is proposed by introducing the Kriging approxi...
Optimal design under uncertainty has gained much attention in the past ten years due to the ever inc...
This paper studies the reliability-based multiobjective optimization by using a new interval strateg...
This thesis aims at Multi-Objective Optimization under Uncertainty in structural design. We investig...
Μulti-objective design problems with probabilistic objectives estimated through stochastic simulatio...
This item provides an example software implementation of a novel interval uncertainty formulation fo...
The aim of this paper is to introduce an efficient and accurate new approach called Monte Carlo and ...
The current trend of design methodologies is to make engineers objectify or automate the decision-ma...