Sine cosine algorithm for optimization / Jagdish Chand Bansal, Prathu Bajpai, Anjali Rawat, Atulya K. Nagar.
Bansal, Jagdish Chand. author.; Bajpai, Prathu, author.; Rawat, Anjali, author.; Nagar, Atulya K., author.
2023
QA76.9.A43
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Open access
Document Delivery Supplied
Open access

Details

Title
Sine cosine algorithm for optimization / Jagdish Chand Bansal, Prathu Bajpai, Anjali Rawat, Atulya K. Nagar.
Author
Bansal, Jagdish Chand. author.
ISBN
9811997225 (electronic bk.)
9789811997228 (electronic bk.)
DOI
https://doi.org/10.1007/978-981-19-9722-8
Publication Details
Singapore : Springer, 2023.
Language
English
Description
1 online resource (x, 108 pages) : illustrations (chiefly color).
Item Number
10.1007/978-981-19-9722-8 doi
Call Number
QA76.9.A43
Dewey Decimal Classification
005.13
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Open access
Source of Description
Description based on print version record.
Added Author
Bajpai, Prathu, author.
Rawat, Anjali, author.
Nagar, Atulya K., author.
Series
SpringerBriefs in applied sciences and technology. Computational intelligence. 2625-3712
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Introduction
Sine Cosine Algorithm
Sine Cosine Algorithm for Multi-Objective Optimization
Sine Cosine Algorithm for Discrete Optimization Problems
Advancements in the Sine Cosine Algorithm
Conclusion and Further Research Directions.

Browse Subjects

Show more subjects...

Statistics

from
to
Export