
Multi-objective Optimization: Techniques And Applications In Chemical Engineering (With Cd-rom)
Techniques and Applications in Chemical Engineering(With CD-ROM)
- 456 pages
- English
- PDF
- Available on iOS & Android
Multi-objective Optimization: Techniques And Applications In Chemical Engineering (With Cd-rom)
Techniques and Applications in Chemical Engineering(With CD-ROM)
About this book
Optimization has been playing a key role in the design, planning and operation of chemical and related processes for nearly half a century. Although process optimization for multiple objectives was studied by several researchers back in the 1970s and 1980s, it has attracted active research in the last 10 years, spurred by the new and effective techniques for multi-objective optimization. In order to capture this renewed interest, this monograph presents the recent and ongoing research in multi-optimization techniques and their applications in chemical engineering.Following a brief introduction and general review on the development of multi-objective optimization applications in chemical engineering since 2000, the book gives a description of selected multi-objective techniques and then goes on to discuss chemical engineering applications. These applications are from diverse areas within chemical engineering, and are presented in detail. All chapters will be of interest to researchers in multi-objective optimization and/or chemical engineering; they can be read individually and used in one's learning and research. Several exercises are included at the end of many chapters, for use by both practicing engineers and students.
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Table of contents
- Contents
- Preface
- Chapter 1 Introduction Gade Pandu Rangaiah
- Chapter 2 Multi-Objective Optimization Applications in Chemical Engineering Masuduzzaman and Gade Pandu Rangaiah
- Chapter 3 Multi-Objective Evolutionary Algorithms: A Review of the State-of-the-Art and some of their Applications in Chemical Engineering Antonio López Jaimes and Carlos A. Coello Coello
- Chapter 4 Multi-Objective Genetic Algorithm and Simulated Annealing with the Jumping Gene Adaptations Manojkumar Ramteke and Santosh K. Gupta
- Chapter 5 Surrogate Assisted Evolutionary Algorithm for Multi-Objective Optimization Tapabrata Ray, Amitay Isaacs and Warren Smith
- Chapter 6 Why Use Interactive Multi-Objective Optimization in Chemical Process Design? Kaisa Miettinen and Jussi Hakanen
- Chapter 7 Net Flow and Rough Sets: Two Methods for Ranking the Pareto Domain Jules Thibault
- Chapter 8 Multi-Objective Optimization of Multi-Stage Gas-Phase Refrigeration Systems Nipen M. Shah, Gade Pandu Rangaiah and Andrew F. A. Hoadley
- Chapter 9 Feed Optimization for Fluidized Catalytic Cracking using a Multi-Objective Evolutionary Algorithm Kay Chen Tan, Ko Poh Phang and Ying Jie Yang
- Chapter 10 Optimal Design of Chemical Processes for Multiple Economic and Environmental Objectives Elaine Su-Qin Lee, Gade Pandu Rangaiah and Naveen Agrawal
- Chapter 11 Multi-Objective Emergency Response Optimization Around Chemical Plants Paraskevi S. Georgiadou, Ioannis A. Papazoglou, Chris T. Kiranoudis and Nikolaos C. Markatos
- Chapter 12 Array Informatics using Multi-Objective Genetic Algorithms: From Gene Expressions to Gene Networks Sanjeev Garg
- Chapter 13 Optimization of a Multi-Product Microbial Cell Factory for Multiple Objectives – A Paradigm for Metabolic Pathway Recipe Fook Choon Lee, Gade Pandu Rangaiah and Dong-Yup Lee
- Index