4.6 Article

B-POP: Bi-level parametric optimization toolbox

期刊

COMPUTERS & CHEMICAL ENGINEERING
卷 122, 期 -, 页码 193-202

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2018.07.007

关键词

Bi-level optimization; Multi-parametric programming; Hierarchical model predictive control; Supply chain planning

资金

  1. National Science Foundation [CBET-1705423]
  2. Department of Chemical Engineering
  3. Texas AM University
  4. Texas A&M Energy Institute
  5. Faculty of Engineering of Imperial College London

向作者/读者索取更多资源

In this manuscript we present B-POP, a MATLAB toolbox for bi-level optimization through multiparametric programming. It features i) bi-level programming solvers for linear and quadratic programming problems, and their mixed-integer counter-parts, ii) a versatile problem generator capable of creating random bi-level problems of arbitrary size, and iii) a library of bi-level programming test problems. The features of B-POP are demonstrated through detailed computational studies showing the capabilities and the scalability of the embedded algorithms. Moreover, two applications, i) a supply chain planning problem, and ii) a hierarchical model predictive control of a reactor system are chosen to show the applicability of bi-level programming and B-POP. (C) 2018 Elsevier Ltd. All rights reserved.

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