Butterfly Optimization Algorithm: Theory and Engineering Applications - Brossura

Sharma, Tarun Kumar; Verma, Om Prakash

Brossura

ISBN 10: 9811937664 ISBN 13: 9789811937668

Casa editrice: Springer Nature, 2022

Riassunto

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. 

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Informazioni sull?autore

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 books with 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.

 

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 9811937664
• ISBN 13: 9789811937668
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 96
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania