Optimization in Chemical Engineering
eBook - ePub

Optimization in Chemical Engineering

Deterministic, Meta-Heuristic and Data-Driven Techniques

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Optimization in Chemical Engineering

Deterministic, Meta-Heuristic and Data-Driven Techniques

About this book

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.

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Yes, you can access Optimization in Chemical Engineering by Fernando Israel Gómez-Castro,Vicente Rico-Ramírez in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. List of contributing authors
  5. Chapter 1 Optimization and its importance for chemical engineers: challenges, opportunities, and innovations
  6. Chapter 2 Deterministic optimization of distillation processes
  7. Chapter 3 Optimal design of process energy systems integrating sustainable considerations
  8. Chapter 4 Metaheuristics for the optimization of chemical processes
  9. Chapter 5 Surrogate-based optimization techniques for process systems engineering
  10. Chapter 6 Data-driven techniques for optimal and sustainable process integration of chemical and manufacturing systems
  11. Chapter 7 Applications of Bayesian optimization in chemical engineering
  12. Chapter 8 Sensitivity assessment of multi-criteria decision-making methods in chemical engineering optimization applications
  13. Chapter 9 Hybrid optimization methodologies for the design of chemical processes
  14. Chapter 10 Optimization under uncertainty in process systems engineering
  15. Chapter 11 Optimal control of batch processes in the continuous time domain
  16. Chapter 12 Supply chain optimization for chemical and biochemical processes
  17. Chapter 13 Future insights for optimization in chemical engineering
  18. Index