Multi objective Optimization Techniques And Applications In Chemical Engineering Second Edition Gade Pandu Rangaiah

Table Contents:

1. Cover Page
2. Title
3. Copyright
4. Preface to the Second Edition
5. Preface to the First Edition
6. Chapter 1 Introduction
7. Chapter 2 Multi-Objective Optimization Applications in Chemical Engineering
8. Chapter 3 Multi-Objective Evolutionary Algorithms: A Review of the State-of-the-Art and some of their Applications in Chemical Engineering
9. Chapter 4 Multi-Objective Genetic Algorithm and Simulated Annealing with the Jumping Gene Adaptations
10. Chapter 5 Multi-Objective Optimization Using an Evolutionary Algorithm Embedded with Multiple Spatially Distributed Surrogates
11. Chapter 6 Why Use Interactive Multi-Objective Optimization in Chemical Process Design?
12. Chapter 7 Net Flow and Rough Sets: Two Methods for Ranking the Pareto Domain
13. Chapter 8 Multi-Objective Optimization of Multi-Stage Gas-Phase Refrigeration Systems
14. Chapter 9 Feed Optimization for Fluidized Catalytic Cracking using a Multi-Objective Evolutionary Algorithm
15. Chapter 10 Optimal Design of Chemical Processes for Multiple Economic and Environmental Objectives
16. Chapter 11 Multi-Objective Emergency Response Optimization Around Chemical Plants
17. Chapter 12 Array Informatics using Multi-Objective Genetic Algorithms: From Gene Expressions to Gene Networks
18. Chapter 13 Optimization of a Multi-Product Microbial Cell Factory for Multiple Objectives – A Paradigm for Metabolic Pathway Recipe
19. Chapter 14 Evolutionary MOO of a Complex Process – A Surrogate-Assisted Approach
20. Chapter 15 Optimization of Heat Exchanger Network Retrofitting: Comparison of Penalty Function and Feasibility Approach for Handling Constraints
21. Chapter 16 Multi-Objective Optimization Programs and their Application to Amine Absorption Process Design for Natural Gas Sweetening