Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications (Cambridge Series in Chemical Engineering) - Hardcover

Vassiliadis, Vassilios S.; Kähm, Walter; Del Rio Chanona, Ehecatl Antonio; Yuan, Ye

Hardcover

ISBN 10: 1107106834 ISBN 13: 9781107106833

Publisher: Cambridge University Press, 2021

Synopsis

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

About this title

About the Authors

Vassilios S. Vassiliadis is a Senior Lecturer in the Department of Chemical Engineering at the University of Cambridge. He is also the CEO and CTO of the spin-out company, Cambridge Simulation Solutions LTD.

Walter Kähm, a former PhD student under Vassilios S. Vassiliadis, is a process engineer in the chemical sector.

Ehecatl Antonio del Rio-Chanona is a lecturer and head of the optimization and machine learning for the process systems engineering group in the Department of Chemical Engineering and the Centre for Process Systems Engineering (CPSE) at Imperial College London.

Ye Yuan is currently a professor at Huazhong University of Science and Technology.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2021
• Language: English
• ISBN 10: 1107106834
• ISBN 13: 9781107106833
• Binding: Hardcover
• Number of pages: 350