Multi-level Mixed-Integer Optimization: Parametric Programming Approach

✍ Scribed by Styliani Avraamidou; Efstratios Pistikopoulos

• Publisher: De Gruyter
• Year: 2022
• Tongue: English
• Leaves: 154
• Category: Library

✦ Synopsis

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.

• Enable good performance characteristics like flexibility, controllability, robustness, reliability and safety.

• Provides case studies, examples, and a software prototype description.

✦ Table of Contents

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