Add to ORKGThis papers aims at presenting a review of some metamodels used in optimization. We are interested in particular in the Radial Basis Functions and Kriging metamodels. The theory of these techniques is presented and their implementation is discussed. We present also the differentiation of these metamodels. Furthermore, a slight comparison between Radial Basis Functions and Kriging metamodels is given in ordrer to show their similarities and differences
Modern optimization methods like Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have...
Aerodynamic shape optimization using CFD and global optimizers like PSO is a computationally expensi...
Meta-models proved to be a very efficient strategy for optimization of expensive black-box models, e...
This papers aims at presenting a review of some metamodels used in optimization. We are interested i...
This dissertation takes place in the framework of design and analysis of computer experiments. More ...
Metamodels, also known as surrogate models, can be used in place of computationally expensive simula...
Application of interpolation/approximation techniques (metamodels, for brevity) is commonly adopt...
Radial basis functions (RBFs), among other techniques, are used to construct metamodels that approxi...
Cette thèse s'inscrit dans la thématique de planification d'expériences numériques. Elle porte sur l...
In this thesis numerical optimization methods for single- and multi-objective design optimization wi...
In der vorliegenden Arbeit werden Metamodelle und deren Anwendungen erläutert. Im ersten Teil wird a...
Metamodels based on responses from designed (numerical) experiments may form efficient approximation...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
YesMetamodelling or surrogate modelling techniques are frequently used across the engineering discip...
This chapter surveys two methods for the optimization of real-world systems that are modelled throug...
Modern optimization methods like Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have...
Aerodynamic shape optimization using CFD and global optimizers like PSO is a computationally expensi...
Meta-models proved to be a very efficient strategy for optimization of expensive black-box models, e...
This papers aims at presenting a review of some metamodels used in optimization. We are interested i...
This dissertation takes place in the framework of design and analysis of computer experiments. More ...
Metamodels, also known as surrogate models, can be used in place of computationally expensive simula...
Application of interpolation/approximation techniques (metamodels, for brevity) is commonly adopt...
Radial basis functions (RBFs), among other techniques, are used to construct metamodels that approxi...
Cette thèse s'inscrit dans la thématique de planification d'expériences numériques. Elle porte sur l...
In this thesis numerical optimization methods for single- and multi-objective design optimization wi...
In der vorliegenden Arbeit werden Metamodelle und deren Anwendungen erläutert. Im ersten Teil wird a...
Metamodels based on responses from designed (numerical) experiments may form efficient approximation...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
YesMetamodelling or surrogate modelling techniques are frequently used across the engineering discip...
This chapter surveys two methods for the optimization of real-world systems that are modelled throug...
Modern optimization methods like Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have...
Aerodynamic shape optimization using CFD and global optimizers like PSO is a computationally expensi...
Meta-models proved to be a very efficient strategy for optimization of expensive black-box models, e...