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Butterfly Optimization Algorithm: Theory and Engineering Applications
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Butterfly Optimization Algorithm: Theory and Engineering Applications/ by Tarun Kumar Sharma, Om Prakash Verma.
Author:
Sharma, Tarun Kumar.
other author:
Verma, Om Prakash.
Description:
IX, 86 p. 28 illus., 17 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-19-3767-5
ISBN:
9789811937675
Butterfly Optimization Algorithm: Theory and Engineering Applications
Sharma, Tarun Kumar.
Butterfly Optimization Algorithm: Theory and Engineering Applications
[electronic resource] /by Tarun Kumar Sharma, Om Prakash Verma. - 1st ed. 2022. - IX, 86 p. 28 illus., 17 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3712. - SpringerBriefs in Computational Intelligence,.
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.
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. .
ISBN: 9789811937675
Standard No.: 10.1007/978-981-19-3767-5doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Butterfly Optimization Algorithm: Theory and Engineering Applications
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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. .
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