Stochastic global optimization : techniques and applications in chemical engineering /
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| Imprint: | Singapore ; Hackensack, NJ : World Scientific, c2010. |
|---|---|
| Description: | xi, 709 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.). |
| Language: | English |
| Series: | Advances in process systems engineering ; v. 2 Advances in process systems engineering ; v. 2. |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/8133644 |
Table of Contents:
- Preface
- Chapter 1. Introduction
- Chapter 2. Formulation and Illustration of Luus-Jaakola Optimization Procedure
- Chapter 3. Adaptive Random Search and Simulated Annealing Optimizers: Algorithms and Application Issues
- Chapter 4. Genetic Algorithms in Process Engineering: Developments and Implementation Issues
- Chapter 5. Tabu Search for Global Optimization of Problems Having Continuous Variables
- Chapter 6. Differential Evolution: Method, Developments and Chemical Engineering Applications
- Chapter 7. Ant Colony Optimization: Details of Algorithms Suitable for Process Engineering
- Chapter 8. Particle Swarm Optimization for Solving NLP and MINLP in Chemical Engineering
- Chapter 9. An Introduction to the Harmony Search Algorithm
- Chapter 10. Meta-Heuristics: Evaluation and Reporting Techniques
- Chapter 11. A Hybrid Approach for Constraint Handling in MINLP Optimization using Stochastic Algorithms
- Chapter 12. Application of Luus-Jaakola Optimization Procedure to Model Reduction, Parameter Estimation and Optimal Control
- Chapter 13. Phase Stability and Equilibrium Calculations in Reactive Systems using Differential Evolution and Tabu Search
- Chapter 14. Differential Evolution with Tabu List for Global Optimization: Evaluation of Two Versions on Benchmark and Phase Stability Problems
- Chapter 15. Application of Adaptive Random Search Optimization for Solving Industrial Water Allocation Problem
- Chapter 16. Genetic Algorithms Formulation for Retrofitting Heat Exchanger Network
- Chapter 17. Ant Colony Optimization for Classification and Feature Selection
- Chapter 18. Constraint Programming and Genetic Algorithm
- Chapter 19. Schemes and Implementations of Parallel Stochastic Optimization Algorithms: Application of Tabu Search to Chemical Engineering Problems
- Index
