Use this url to cite publication: https://hdl.handle.net/20.500.12259/43984
Adaptive search for optimum in a problem of oil stabilization process design
Type of publication
Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)
Author(s)
Title
Adaptive search for optimum in a problem of oil stabilization process design
Is part of
Adaptive computing in design and manufacture VI. London : Springer, 2004
Date Issued
| Date |
|---|
2004 |
Publisher
London : Springer, 2004
Publisher (trusted)
Is Referenced by
Extent
p. 87-99
Abstract (en)
The formulation of a model for an industrial problem in process design leads to an optimization problem with a small, implicitly defined, feasible region, a region which is difficult to identify a priori. The difficulties of obtaining a good solution with conventional optimization methods are discussed. A novel method is proposed, based on the paradigm of evolutionary computing and a two stage search: the first stage aims to find a set of points covering the feasible region and the second stage is a search for the optimum, modelling the evolution of the population, the set of points, found in the first stage. The results of profit optimization for an industrial case study are presented.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Jungtinė Karalystė / United Kingdom of Great Britain and Northern Ireland (GB)
Description
Leidinio DOI 10.1007/978-0-85729-338-1
ISBN (of the container)
9781852338299
WOS
WOS:000189506200008
Other Identifier(s)
VDU02-000002976