Butterfly optimization algorithm : theory and engineering applications / Tarun Kumar Sharma, Om Prakash Verma.
Sharma, Tarun K., author.; Verma, Om Prakash (Engineer), author.
2022
QA402.5
Available Online

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Title Butterfly optimization algorithm : theory and engineering applications / Tarun Kumar Sharma, Om Prakash Verma.
Author Sharma, Tarun K., author.
ISBN 9789811937675 (electronic bk.)
9811937672 (electronic bk.)
9789811937668
9811937664
DOI https://doi.org/10.1007/978-981-19-3767-5
Published Singapore : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (ix, 86 pages) : illustrations (some color).
Item Number 10.1007/978-981-19-3767-5 doi
Call Number QA402.5
Dewey Decimal Classification 519.6
Summary 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. .
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 29, 2022).
Added Author Verma, Om Prakash (Engineer), author.
Series SpringerBriefs in applied sciences and technology. Computational intelligence. 2625-3712
Available in Other Form Butterfly optimization algorithm.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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