Constraint modelling using object-based kriging
UNSPECIFIED (2002) Constraint modelling using object-based kriging. In: Engineering Design Conference 2002, KINGS COLL, LONDON, ENGLAND, JUL 09-11, 2002. Published in: COMPUTER-BASED DESIGN pp. 589-596.Full text not available from this repository.
Constraint modelling, as opposed to constraint management, means the modelling of constraints using observational data, either physical or from a CAD system. Kriging is the method of function fitting using positive definite kernels, sometimes referred to as tile 'stochastic process' method, It has been used extensively by the authors and others to fit, emulators for fast optimisation under the title of DACE: the Design and Analysis of Computer Experiments. The paper combines the two methods by defining positive definite kernels on new spaces such as hyperspheres. It is able to model whole surfaces as opposed to single functions. The main example in the paper uses p.d. kernels defined on spheres to model constraint regions that are star-shaped with respect to the origin. Extensions are briefly considered where the objects' are collections of lines, planes, etc. The connection is discussed with other methods of computational geometry used for such objects such as support vector machines.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||T Technology > TS Manufactures
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TJ Mechanical engineering and machinery
|Journal or Publication Title:||COMPUTER-BASED DESIGN|
|Publisher:||PROFESSIONAL ENGINEERING PUBLISHING LTD|
|Number of Pages:||8|
|Page Range:||pp. 589-596|
|Title of Event:||Engineering Design Conference 2002|
|Location of Event:||KINGS COLL, LONDON, ENGLAND|
|Date(s) of Event:||JUL 09-11, 2002|
Actions (login required)
Downloads per month over past year