Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

Ch. Venkateswarlu, Satya Eswari Jujjavarapu

• Publisher: Elsevier
• Year: 2019
• Print ISBN: 9780128173923
• eBook ISBN: 9780128173930
• Topic: Technology & Engineering
• Subtopic: Chemical & Biochemical Engineering
• Index: Technology & Engineering

Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents various algorithms that include the genetic algorithm, simulated annealing, differential evolution, ant colony optimization, tabu search, particle swarm optimization, artificial bee colony optimization, and cuckoo search algorithm. The design and analysis of these algorithms is studied by applying them to solve various base case and complex optimization problems concerning chemical, biochemical, pharmaceutical, and environmental engineering processes.Design and implementation of various classical and advanced optimization strategies to solve a wide variety of optimization problems makes this book beneficial to graduate students, researchers, and practicing engineers working in multiple domains. This book mainly focuses on stochastic, evolutionary, and artificial intelligence optimization algorithms with a special emphasis on their design, analysis, and implementation to solve complex optimization problems and includes a number of real applications concerning chemical, biochemical, pharmaceutical, and environmental engineering processes.- Presents various classical, stochastic, evolutionary, and artificial intelligence optimization algorithms for the benefit of the audience in different domains- Outlines design, analysis, and implementation of optimization strategies to solve complex optimization problems of different domains- Highlights numerous real applications concerning chemical, biochemical, pharmaceutical, and environmental engineering processes

Chapter 1

Basic features and concepts of optimization

Abstract

The basic features, concepts, and benefits of optimization are explained in terms of its scope, illustrative examples, prerequisites, functions, behavior of functions, maxima and minima of functions, search region, classification of optimization problems, general solution procedure, and the obstacles of optimization. Learning about the mathematical concepts involved with the subject of optimization with the illustrative examples in engineering and technology domain along with the concepts and definitions makes this topic more useful to the readers and learners of different domains even if they are not directly associated with this field. These fundamental concepts of optimization set the stage to the further topics of the book, which are organized in order to cover various classical and advanced methods and their applications to different domains.

Keywords

Behavior of functions; Classification of optimization problems; Functions; Maxima and minima; Region of search

1. 1.1 Introduction
2. 1.2 Basic features
   1. 1.2.1 Optimization and its benefits
   2. 1.2.2 Scope for optimization
   3. 1.2.3 Illustrative examples
   4. 1.2.4 Essential requisites for optimization
3. 1.3 Basic concepts
   1. 1.3.1 Functions in optimization
   2. 1.3.2 Interpretation of behavior of functions
   3. 1.3.3 Maxima and minima of functions
   4. 1.3.4 Region of search for constrained optimization
4. 1.4 Classification and general procedure
   1. 1.4.1 Classification of optimization problems
   2. 1.4.2 General procedure of solving optimization problems
   3. 1.4.3 Bottlenecks in optimization
5. 1.5 Summary
6. References

Optimization is the process of finding the set of conditions required to achieve the best solution in a given situation. Optimization is of great interest and finds widespread use in engineering, science, economics, and operations research. This introductory chapter presents the basic features and concepts that set the stage for the development of optimization methods in the subsequent chapters.

1.1. Introduction

A wide variety of problems in design, operation, and analysis of engineering and technological processes can be resolved by optimization. This chapter provides the motivation for the topic of optimization by means of presenting its basic features along with its scope, examples of its applications, and its essential components. Furthermore, its basic concepts are described in ...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• About the authors
• Preface
• Chapter 1. Basic features and concepts of optimization
• Chapter 2. Classical analytical methods of optimization
• Chapter 3. Numerical search methods for unconstrained optimization problems
• Chapter 4. Stochastic and evolutionary optimization algorithms
• Chapter 5. Application of stochastic and evolutionary optimization algorithms to base case problems
• Chapter 6. Application of stochastic evolutionary optimization techniques to chemical processes
• Chapter 7. Application of stochastic evolutionary optimization techniques to biochemical processes
• Chapter 8. Application of stochastic evolutionary optimization techniques to pharmaceutical processes
• Chapter 9. Application of stochastic evolutionary optimization techniques to environmental processes
• Chapter 10. Conclusions
• Index