Tools
ToolsLiu, Dianzi and Toropov, Vassili (2016) Implementation of discrete capability into the enhanced multipoint approximation method for solving mixed integer-continuous optimization problems. International Journal for Computational Methods in Engineering Science & Mechanics, 17 (1). pp. 22-35. ISSN 1550-2287
Preview |
PDF (Mixed integer_discrete opt -by D Liu_Accepted version)
- Accepted Version
Download (700kB) | Preview |
Abstract
Multipoint approximation method (MAM) focuses on the development of metamodels for the objective and constraint functions in solving a mid-range optimization problem within a trust region. To develop an optimization technique applicable to mixed integer-continuous design optimization problems in which the objective and constraint functions are computationally expensive and could be impossible to evaluate at some combinations of design variables, a simple and efficient algorithm, coordinate search, is implemented in the MAM. This discrete optimization capability is examined by the well established benchmark problem and its effectiveness is also evaluated as the discreteness interval for discrete design variables is increased from 0.2 to 1. Furthermore, an application to the optimization of a lattice composite fuselage structure where one of design variables (number of helical ribs) is integer is also presented to demonstrate the efficiency of this capability.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | multipoint approximation method,integer-continuous optimization,metamodel,coordinate search |
| Faculty \ School: | Faculty of Science > School of Mathematics |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 28 Jan 2016 18:00 |
| Last Modified: | 22 Oct 2022 00:36 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/56861 |
| DOI: | 10.1080/15502287.2016.1139013 |
Downloads
Downloads per month over past year
Actions (login required)
 |
View Item |