Optimization is an area in constant evolution. The search for robust optimization techniques to deal with the highly non-convex models that represent the systems related to Chemical Engineering has led to important advances in the area. The need for developing economically feasible processes which are simultaneously environmentally friendly, safe, and controllable requires for adequate optimization strategies. Moreover, finding a global optimum is still a challenge for a diversity of cases. Thus, this book presents a compilation of classic and emerging optimization techniques, focusing on their application to systems related to the Chemical Engineering. The book shows the applications of classic mathematical programming, metaheuristic optimization methods and machine learning-based strategies. The analysis of the described techniques allows the reader identifying the advantages and disadvantages of each approach. Moreover, the book will discuss the perspectives for future developments on the area.
| ISBN: | 9783111383385 |
| Publication date: | 21st April 2025 |
| Author: | Fernando Israel GómezCastro, Vicente RicoRamírez |
| Publisher: | De Gruyter |
| Format: | Paperback |
| Pagination: | 474 pages |
| Series: | De Gruyter Textbook |
| Genres: |
Industrial chemistry and chemical engineering |
Optimization is an area in constant evolution. The search for robust optimization techniques to deal with the highly non-convex models that represent the systems related to Chemical Engineering has led to important advances in the area. The need for developing economically feasible processes which are simultaneously environmentally friendly, safe, and controllable requires for adequate optimization strategies. Moreover, finding a global optimum is still a challenge for a diversity of cases. Thus, this book presents a compilation of classic and emerging optimization techniques, focusing on their application to systems related to the Chemical Engineering. The book shows the applications of classic mathematical programming, metaheuristic optimization methods and machine learning-based strategies. The analysis of the described techniques allows the reader identifying the advantages and disadvantages of each approach. Moreover, the book will discuss the perspectives for future developments on the area.
Optimization in Chemical Engineering features in the following genres: Process engineering technology and techniques, Automatic control engineering, Computer applications in industry and technology, Artificial intelligence, Optimization
Optimization in Chemical Engineering is available in Paperback
Optimization in Chemical Engineering was written by Fernando Israel GómezCastro, Vicente RicoRamírez and published by De Gruyter
Optimization in Chemical Engineering has 474 pages
Yes it is part of De Gruyter Textbook series
£79.20