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Kategorie szczegółowe BISAC

Butterfly Optimization Algorithm: Theory and Engineering Applications

ISBN-13: 9789811937668 / Angielski / Miękka / 2022

Tarun Kumar Sharma; Om Prakash Verma
Butterfly Optimization Algorithm: Theory and Engineering Applications Tarun Kumar Sharma, Verma, Om Prakash 9789811937668 Springer Nature Singapore - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Butterfly Optimization Algorithm: Theory and Engineering Applications

ISBN-13: 9789811937668 / Angielski / Miękka / 2022

Tarun Kumar Sharma; Om Prakash Verma
cena 201,72 zł
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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. 

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Engineering (General)
Mathematics > Matematyka stosowana
Computers > Artificial Intelligence - General
Wydawca:
Springer Nature Singapore
Seria wydawnicza:
SpringerBriefs in Computational Intelligence
Język:
Angielski
ISBN-13:
9789811937668
Rok wydania:
2022
Waga:
0.15 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Dodatkowe informacje:
Wydanie ilustrowane

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.

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.

 


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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