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Now Available in Paperback Evolutionary computation has gained popularity in the recent past due to its several advantages over deterministic methods. Unlike deterministic methods, evolutionary computation methods starts with multiple solutions (both for single- and multi-objective optimization [MOO] studies) in order to attain a wide range of initial population members. Evolutionary computation methods are also highly preferred for solving multi-objective optimization problems where conflicting objective functions are involved. This volume presents and discusses recent advancements in evolutionary computation of both theory and applications. Both scientific and engineering applications of evolutionary computation techniques are explored here. This book is broadly organized into three sections:
Covering both the theory and applications of evolutionary computation, the book
CONTENTS: About the Authors / Editors: Editors: Ashish M. Gujarathi, PhD Assistant Professor, Petroleum and Chemical Engineering Department, College of Engineering, Sultan Qaboos University, Sultanate of Oman Ashish M. Gujarathi, PhD, is currently an Assistant Professor in the Petroleum and Chemical Engineering Department of the College of Engineering at Sultan Qaboos University, Sultanate of Oman. He was formerly a Lecturer of Chemical Engineering at the Birla Institute of Technology and Science (BITS) in Pilani, India. Dr. Gujarathi has over eleven years of experience as a chemical engineer with diverse work experience comprising a blend of academic research, teaching, and industrial consultancy work. A prolific author with articles, book chapters, and conference proceedings to his credit, he is also an editorial board member of several journals, including the Journal of Developmental Biology and Tissue Engineering and the International Open Access Journal of Biology and Computer Science and has acted as a reviewer for several international journals as well as for books and conference proceedings. His research interests include reaction engineering; process design and synthesis; process modeling, simulation, and optimization; polymer science and engineering; petrochemicals; parametric estimation and optimization of major chemical processes; evolutionary computation; and biochemical engineering. B. V. Babu, PhD Vice Chancellor, Galgotias University, Greater Noida, India B. V. Babu, PhD, is currently Vice Chancellor at Galgotias University in Greater Noida, India. An acknowledged researcher and renowned academician, Dr. Babu has 30 years of teaching, research, consultancy, and administrative experience. Formerly, he was the Pro Vice Chancellor of DIT University, Dehradun and founding Director of the Institute of Engineering and Technology (IET) at JK Lakshmipat University, Jaipur. He is a member of many national and international academic and administrative committees and professional organizations. Professor Babu is a distinguished academician and an acknowledged researcher and is well-known internationally for his algorithm MODE (Multi Objective Differential Evolution) and its improved variants. Overall he has over 235 research publications to his credit. He has published several books and has written chapters, invited editorials, and articles in various books, lecture notes, and international journals. He organized several international and national conferences, workshops, and seminars and also chaired several technical sessions. He has been invited speaker and has delivered keynote addresses at various international conferences, seminars, and workshops. He is the recipient of CSIR’s National Technology Day Award for recognition his research work as well as of many other awards. He is the life member/fellow of many professional bodies such as IIChE, IE (I), ISTE, ICCE, IEA, SOM, ISSMO, IIIS, IAENG, SPE, ISTD, etc. He is editor-in-chief and editorial board member of several international and national scientific journals. |
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