Butterfly Optimization Algorithm: Theory and Engineering Applications - Tarun Kumar Sharma, Om Prakash Verma

Butterfly Optimization Algorithm: Theory and Engineering Applications

Buch | Softcover
86 Seiten
2022 | 1st ed. 2022
Springer Verlag, Singapore
978-981-19-3766-8 (ISBN)
53,49 inkl. MwSt
This book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm.
This book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). It also highlights hybridization process in the basic structure of BOA with in-depth analysis of complexity. This book also describes the constraint handling process. The newly introduced variant is implemented and validated on a set of linear and nonlinear real works problems of engineering and pulp and paper industry. The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm. 

Dr. Tarun Kumar Sharma holds a Ph.D. in Soft Computing from IIT Roorkee. Since June 2020, he is associated with Shobhit University, Gangoh, Saharanpur. Earlier he worked with Amity University Rajasthan as Associate Professor & Head—Department of Computer Science & Engineering/IT as well as Alternate Director—Outcome. He has supervised 4 Ph.D., 9 M.Tech. Dissertations, several MCA, and B.Tech. Projects. He has over 80 research publications to his credit. He has been to Amity Institute of Higher Education Mauritius on deputation. He has availed grants from Microsoft Research India, CSIR, New Delhi, and DST, New Delhi, to visit Australia, Singapore, and Malaysia, respectively. He is Founding Member of the International Conference on Soft Computing: Theories and Applications (SoCTA Series) and Congress on Advances in Materials Science and Engineering (CAMSE). He has edited 7 volumes of Conference Proceedings published by AISC series of Springer (SCOPUS) Publication and four edited bookswith Asset Analytics, Springer. Dr. Om Prakash Verma is currently serving as Assistant Professor in the Department of Instrumentation and Control Engineering, Dr B R Ambedkar NIT Jalandhar. He holds a Ph.D. (IIT Roorkee), M.Tech. (Dr B R Ambedkar NIT Jalandhar), and B.Tech. (Dr B R Ambedkar University, Agra) in Polymer and Process Engineering, Process and Control and Instrumentation, and Electronics and Instrumentation, respectively. Prior to joining NIT Jalandhar, he has served extensively in academia (KIIT deemed to be University, Bhubaneswar; Bansthali Vidyapith, Rajasthan; and Graphic Era University, Dehradun). His research interests include process dynamics control and its optimization; modeling, simulation, & control; optimal, adaptive, and nonlinear control; optimization techniques; soft computing; machine & deep learning; machine/computer vision; blockchain; process design for energy efficiency. He is presently working on ISRO Sponsored Project as a PI. He has been Potential Reviewer of several international journals of high repute. He has published more than 40 research papers in SCI/Scopus/ESI indexed Journals.  

Butterfly Optimization Algorithm.- Differential Butterfly Optimization Algorithm - A hybrid variant.- Application of DBOA in Structural Engineering Design Problems.- Application of DBOA in Pulp & Paper Process Optimization.- Conclusion and Future Directions.

Erscheinungsdatum
Reihe/Serie SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Computational Intelligence
Zusatzinfo 17 Illustrations, color; 11 Illustrations, black and white; IX, 86 p. 28 illus., 17 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Technik
ISBN-10 981-19-3766-4 / 9811937664
ISBN-13 978-981-19-3766-8 / 9789811937668
Zustand Neuware
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