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Butterfly optimization algorithm: th...

Sharma, Tarun K.

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Butterfly optimization algorithm: theory and engineering applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Butterfly optimization algorithm: theory and engineering applications/ by Tarun Kumar Sharma, Om Prakash Verma.
作者:	Sharma, Tarun K.
其他作者:	Verma, Om Prakash.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	ix, 86 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-981-19-3767-5
ISBN:	9789811937675

Butterfly optimization algorithm: theory and engineering applications
Sharma, Tarun K.

Butterfly optimization algorithm: theory and engineering applications[electronic resource] /by Tarun Kumar Sharma, Om Prakash Verma. - Singapore :Springer Nature Singapore :2022. - ix, 86 p. :ill. (some col.), digital ;24 cm. - 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:

517763
Mathematical optimization.

LC Class. No.: QA402.5 / .S43 2022

Dewey Class. No.: 519.6

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