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Sine Cosine Algorithm for Optimization

Part of the SpringerBriefs in Applied Sciences and Technology Book Series

DOI: 10.1007/978-981-19-9722-8

ISBN: 978-981-19-9721-1

Publisher: Springer Nature Singapore - Springer Journals

Jan 31, 2023

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Chapter 1Introduction

Bansal, Jagdish Chand; Bajpai, Prathu; Rawat, Anjali; Nagar, Atulya K.

Pages: 1 –13

[Decision-making is a difficult task, and it requires careful analysis of the underlying problem at hand. The presence of various alternative solutions makes the decision-making problem even more difficult as all the available solutions are not optimal. Since resources, time, and money are...
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Chapter 2Sine Cosine Algorithm

Bansal, Jagdish Chand; Bajpai, Prathu; Rawat, Anjali; Nagar, Atulya K.

Pages: 15 –33

[Sine cosine algorithm (SCA) [1] is relatively a new algorithm, in the field of meta-heuristic algorithms. SCA is a population-based probabilistic search method that updates the position of search agents in the population using simple concept of trigonometric functions sine and cosine. SCA...
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Chapter 3Sine Cosine Algorithm for Multi-objective Optimization

Bansal, Jagdish Chand; Bajpai, Prathu; Rawat, Anjali; Nagar, Atulya K.

Pages: 35 –63

[In many real-world situations, we have to deal with multiple objectives simultaneously in order to make appropriate decisions. The presence of multiple objectives in an optimization problem makes the problem challenging because most of the time these objectives are conflicting in nature. For...
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Chapter 4Sine Cosine Algorithm for Discrete Optimization Problems

Bansal, Jagdish Chand; Bajpai, Prathu; Rawat, Anjali; Nagar, Atulya K.

Pages: 65 –86

[In many scenarios, the nature of the decision-making is discrete and we have to deal with a situation where decisions have to be made from the set of discrete choices, or mutually exclusive alternatives. Choices like passing the electric signal versus not passing the electric signal, going...
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Chapter 5Advancements in the Sine Cosine Algorithm

Bansal, Jagdish Chand; Bajpai, Prathu; Rawat, Anjali; Nagar, Atulya K.

Pages: 87 –103

[In the last few decades, the development and advancement of meta-heuristic algorithms have become the focus of the research community as these algorithms face various challenges like, balance between exploration and exploitation, tuning of parameters, getting trapped in local optima, and very...
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Chapter 6Conclusion and Further Research Directions

Bansal, Jagdish Chand; Bajpai, Prathu; Rawat, Anjali; Nagar, Atulya K.

Pages: 105 –106

[The increasing complexity of real-world optimization problems demands fast, robust, and efficient meta-heuristic algorithms. The popularity of these intelligent techniques is gaining popularity day by day among researchers from various disciplines of science and engineering. The sine cosine...

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