Sine Cosine Algorithm for Optimization (Paperback, 1st ed. 2023)

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This open access book serves as a compact source of information on sine cosine algorithm (SCA) and a foundation for developing and advancing SCA and its applications. SCA is an easy, user-friendly, and strong candidate in the field of metaheuristics algorithms. Despite being a relatively new metaheuristic algorithm, it has achieved widespread acceptance among researchers due to its easy implementation and robust optimization capabilities. Its effectiveness and advantages have been demonstrated in various applications ranging from machine learning, engineering design, and wireless sensor network to environmental modeling. The book provides a comprehensive account of the SCA, including details of the underlying ideas, the modified versions, various applications, and a working MATLAB code for the basic SCA.

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Product Description

This open access book serves as a compact source of information on sine cosine algorithm (SCA) and a foundation for developing and advancing SCA and its applications. SCA is an easy, user-friendly, and strong candidate in the field of metaheuristics algorithms. Despite being a relatively new metaheuristic algorithm, it has achieved widespread acceptance among researchers due to its easy implementation and robust optimization capabilities. Its effectiveness and advantages have been demonstrated in various applications ranging from machine learning, engineering design, and wireless sensor network to environmental modeling. The book provides a comprehensive account of the SCA, including details of the underlying ideas, the modified versions, various applications, and a working MATLAB code for the basic SCA.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

SpringerBriefs in Applied Sciences and Technology

Release date

February 2023

Availability

Expected to ship within 12 - 17 working days

First published

2023

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

108

Edition

1st ed. 2023

ISBN-13

978-981-19-9721-1

Barcode

9789811997211

Categories

LSN

981-19-9721-7



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