Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications
Author(s): Ye Yuan Vassilios S. Vassiliadis , Walter Kähm , Ehecatl Antonio del Rio Chanona (Author)
Publisher: Cambridge University Press
Publication Date: 31 Dec. 2020
Language: English
Print length: 350 pages
ISBN-10: 1107106834
ISBN-13: 9781107106833
Book Description
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.
Editorial Reviews
Review
‘This book offers a very clear, uncluttered presentation of key ideas of optimisation in rigorous form and with plenty of examples from a decade of research and educational experience. It offers an exceptional resource for educators and students of optimisation methods, as well as a valuable reference text to practitioners.’ Alexei Lapkin, University of Cambridge
‘This excellent book brings together important and up-to-date elements of the theory and practice of optimisation with application to chemical and biochemical engineering. It’s an ideal reference for students on advanced courses or for researchers in the field.’ Nilay Shah, Imperial College
Book Description
Modern and unique treatment of process optimization which presents an exposition of applications and algorithms in detail for practical use.
About the Author
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.
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