Chapter 4 Metaheuristics for the optimization of chemical processes
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Oscar Daniel Lara-Montaño
Abstract
Metaheuristic optimization algorithms are effective for exploring complex multidimensional search spaces and avoiding convergence on suboptimal local solutions. They are used across a range of chemical engineering applications, from process design and reactor configuration to environmental engineering and energy management. These algorithms are used for adjusting operational parameters and identifying solutions that might not be detected by conventional methods. This chapter reviews the use of metaheuristic algorithms in these areas, referencing recent published works to illustrate their practical benefits. The discussion aims to provide a concise overview of how these algorithms enhance chemical engineering practices, contributing to increased efficiency, adaptability, and sustainability in solutions.
Abstract
Metaheuristic optimization algorithms are effective for exploring complex multidimensional search spaces and avoiding convergence on suboptimal local solutions. They are used across a range of chemical engineering applications, from process design and reactor configuration to environmental engineering and energy management. These algorithms are used for adjusting operational parameters and identifying solutions that might not be detected by conventional methods. This chapter reviews the use of metaheuristic algorithms in these areas, referencing recent published works to illustrate their practical benefits. The discussion aims to provide a concise overview of how these algorithms enhance chemical engineering practices, contributing to increased efficiency, adaptability, and sustainability in solutions.
Chapters in this book
- Frontmatter I
- Contents V
- List of contributing authors VII
- Chapter 1 Optimization and its importance for chemical engineers: challenges, opportunities, and innovations 1
- Chapter 2 Deterministic optimization of distillation processes 25
- Chapter 3 Optimal design of process energy systems integrating sustainable considerations 79
- Chapter 4 Metaheuristics for the optimization of chemical processes 113
- Chapter 5 Surrogate-based optimization techniques for process systems engineering 159
- Chapter 6 Data-driven techniques for optimal and sustainable process integration of chemical and manufacturing systems 215
- Chapter 7 Applications of Bayesian optimization in chemical engineering 255
- Chapter 8 Sensitivity assessment of multi-criteria decision-making methods in chemical engineering optimization applications 283
- Chapter 9 Hybrid optimization methodologies for the design of chemical processes 305
- Chapter 10 Optimization under uncertainty in process systems engineering 343
- Chapter 11 Optimal control of batch processes in the continuous time domain 379
- Chapter 12 Supply chain optimization for chemical and biochemical processes 401
- Chapter 13 Future insights for optimization in chemical engineering 425
- Index 445
Chapters in this book
- Frontmatter I
- Contents V
- List of contributing authors VII
- Chapter 1 Optimization and its importance for chemical engineers: challenges, opportunities, and innovations 1
- Chapter 2 Deterministic optimization of distillation processes 25
- Chapter 3 Optimal design of process energy systems integrating sustainable considerations 79
- Chapter 4 Metaheuristics for the optimization of chemical processes 113
- Chapter 5 Surrogate-based optimization techniques for process systems engineering 159
- Chapter 6 Data-driven techniques for optimal and sustainable process integration of chemical and manufacturing systems 215
- Chapter 7 Applications of Bayesian optimization in chemical engineering 255
- Chapter 8 Sensitivity assessment of multi-criteria decision-making methods in chemical engineering optimization applications 283
- Chapter 9 Hybrid optimization methodologies for the design of chemical processes 305
- Chapter 10 Optimization under uncertainty in process systems engineering 343
- Chapter 11 Optimal control of batch processes in the continuous time domain 379
- Chapter 12 Supply chain optimization for chemical and biochemical processes 401
- Chapter 13 Future insights for optimization in chemical engineering 425
- Index 445
