Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes
Language: English
Published by Elsevier Science, 2019
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
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Condition: New
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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 solv.
Seller Inventory # 288918696
- Title
- Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes
- Author
- Ch. Venkateswarlu|Satya Eswari Jujjavarapu
- Publisher
- Elsevier Science
- Publication year
- 2019
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 0128173920
- ISBN 13
- 9780128173923
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.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Satya Eswari Jujjavarapu is currently an Assistant Professor in the Biotechnology Department of National Institute of Technology (NIT), Raipur, India. She did her M.Tech in Biotechnology from Indian Institute Technology (IIT) Kharagpur and Ph.D from IIT, Hyderabad. During her research career, she worked as DST-woman scientist at Indian Institute of Chemical Technology (IICT) Hyderabad. Her fields of specializations include bioinformatics, biotechnology, process modelling, evolutionary optimization and artificial intelligence. She gained considerable expertise in the application of mathematical and engineering tools to biotechnological processes. She has published more than 18 sci/scopus research papers and 25 in international conference proceedings. She completed a DST woman scientist project and is currently handling a DST-Early career research project and a CCOST project. She has more than 4 years teaching experience and 3 years research experience.
"About the title" may belong to another edition of this title.
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