Multi-level Mixed-Integer Optimization : : Parametric Programming Approach / / Styliani Avraamidou, Efstratios Pistikopoulos.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
• VerfasserIn: Avraamidou, Styliani,; Pistikopoulos, Efstratios,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2022]; ©2022
• Year of Publication: 2022
• Language: English
• Series: De Gruyter Textbook
• Physical Description: 1 online resource (X, 144 p.)
• Other title: Frontmatter --; Preface --; Contents --; 1 Introduction --; 2 Bilevel mixed-integer optimization --; 3 Multilevel optimization --; 4 Application areas --; 5 Computational implementation – B-POP toolbox --; A Appendix --; B Appendix --; C Summary of mp-MILP and mp-MIQP solution algorithms --; Bibliography --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110760316; 9783110766820; 9783110993899; 9783110994810; 9783110993448; 9783110993219
• DOI: 10.1515/9783110760316
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Styliani Avraamidou, Efstratios Pistikopoulos.

This book provides the fundamental underlying mathematical theory, numerical algorithms and effi cient computational tools for the solution of multi-level mixedinteger optimization problems. It can enable a vast array of decision makers and engineers (e.g. process engineers, bioengineers, chemical and civil engineers, and economists) to model, formulate and solve hierarchical decision making problems. The book gives detailed insights on multi-level optimization by comprehensive explanations, step-by-step numerical examples and case studies, plots, and diagrams.