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

Erscheinungsjahr 2019
ISBN: 978-0-12-817392-3
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 310 Seiten, Format (B × H): 187 mm x 234 mm, Gewicht: 590 g

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.

Zielgruppe

<p>Engineers, researchers and scientists in chemical, biotechnological, pharmaceutical environmental and electrical engineering fields.</p> <p>This book serves as a reference book to masters and Ph.D level research scholars.</p>

Autoren/Hrsg.

Venkateswarlu, Ch.

Jujjavarapu, Satya Eswari

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie

Inhaltsverzeichnis

1. Basic Concepts2. Classical Analytical Methods of Optimization3. Numerical Search Methods for Unconstrained Optimization Problems4. Stochastic and Evolutionary Optimization Algorithms5. Application of Stochastic and Evolutionary Optimization Algorithms to Base Case Problems6. Applications to Chemical Processes7. Applications to Biochemical Processes8. Applications to Pharmaceutical Processes9. Applications to Environmental Processes10. Conclusions

Über Autor(innen)

Venkateswarlu, Ch.
Dr. Ch. Venkateswarlu M.Tech., Ph. D, has formerly worked as Scientist, Senior Principal Scientist and Chief Scientist at Indian Institute of Chemical Technology (IICT), Hyderabad, a premier research and development (R&D) institute of Council of Scientific and Industrial Research (CSIR), India. Later, he worked as Director R&D at BV Raju Institute of Technology (BVRIT), Narsapur, Greater Hyderabad. Prior to Director R&D at BVRIT, he worked as Professor, Principal and Head of Chemical Engineering Department of the same institute. He did his graduation from Andhra University as well as from Indian Institute of Chemical Engineers, and post-graduation and Ph. D in Chemical Engineering from Osmania University, Hyderabad, India. He holds 35 years R&D and industry experience along with 20 years teaching experience. His research interests lie in the areas of conventional process control & advanced process control, dynamic process modelling & simulation, process identification & dynamic optimization, process monitoring & fault diagnosis, state estimation & soft sensing, applied engineering mathematics & evolutionary computing, artificial intelligence & expert systems, and bioprocess engineering & bio-informatics. He published more than 120 research papers in peer journals of repute along with few international and national proceeding publications. He is also credited with 150 technical paper presentations and invited lectures. He authored two books published by Elsevier along with few book chapters. He is also in editorial boards of few international journals. He has executed several R&D projects sponsored by DST and Industry. He is a reviewer of several international research journals and many national and international research project proposals. He has guided several postgraduate and Ph. D students. He served as a long-term guest faculty for premier institutes like Bhaba Atomic Research Centre Scientific Officers Training, BITS Pilani MS (off-campus) and IICT-CDAC Bioinformatics Programs. He is a Fellow of Andhra Pradesh Akademi of Sciences and Telangana State Academy of Sciences.

Jujjavarapu, Satya Eswari
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.