eprintid: 1452709
rev_number: 28
eprint_status: archive
userid: 608
dir: disk0/01/45/27/09
datestamp: 2014-10-26 20:25:32
lastmod: 2021-10-04 01:03:38
status_changed: 2014-10-26 20:25:32
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Dua, V
title: Mixed integer polynomial programming
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F43
keywords: Mixed integer programming, Polynomial programming, Nonlinear inversion, Multi parametric programming
note: © 2014 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
abstract: The mixed integer polynomial programming problem is reformulated as a multi-parametric programming problem by relaxing integer variables as continuous variables and then treating them as parameters. The optimality conditions for the resulting parametric programming problem are given by a set of simultaneous parametric polynomial equations which are solved analytically to give the parametric optimal solution as a function of the relaxed integer variables. Evaluation of the parametric optimal solution for integer variables fixed at their integer values followed by screening of the evaluated solutions gives the optimal solutions.
date: 2015-01-02
official_url: http://dx.doi.org/10.1016/j.compchemeng.2014.07.020
vfaculties: VENG
oa_status: green
full_text_type: pub
primo: open
primo_central: open_green
verified: verified_manual
elements_source: WoS-Lite
elements_id: 987396
doi: 10.1016/j.compchemeng.2014.07.020
lyricists_name: Dua, Vivek
lyricists_id: VDUAX49
full_text_status: public
publication: COMPUTERS & CHEMICAL ENGINEERING
volume: 72
pagerange: 387 - 394
issn: 0098-1354
citation:        Dua, V;      (2015)    Mixed integer polynomial programming.                   COMPUTERS & CHEMICAL ENGINEERING , 72    387 - 394.    10.1016/j.compchemeng.2014.07.020 <https://doi.org/10.1016/j.compchemeng.2014.07.020>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1452709/1/1-s2.0-S0098135414002245-main.pdf