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Design and Applications of Nature Inspired Optimization

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Cover of 'Design and Applications of Nature Inspired Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Swarm Intelligence-Based Algorithms
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    Chapter 2 Particle Swarm Optimization and Its Applications in the Manufacturing Industry
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    Chapter 3 Role of Machine Learning in Bioprocess Engineering: Current Perspectives and Future Directions
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    Chapter 4 Advanced Selection Operation for Differential Evolution Algorithm
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    Chapter 5 Profit Optimization of Two-Unit Briquetting System Using Grey Wolf Optimization Algorithm
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    Chapter 6 Solving Portfolio Optimization Using Sine-Cosine Algorithm Embedded Mutation Operations
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    Chapter 7 Detecting Group Shilling Profiles in Recommender Systems: A Hybrid Clustering and Grey Wolf Optimizer Technique
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    Chapter 8 Single Image Reflection Removal Using Deep Learning
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    Chapter 9 Social Media Analysis: A Tool for Popularity Prediction Using Machine Learning Classifiers
Attention for Chapter 6: Solving Portfolio Optimization Using Sine-Cosine Algorithm Embedded Mutation Operations
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Chapter title
Solving Portfolio Optimization Using Sine-Cosine Algorithm Embedded Mutation Operations
Chapter number 6
Book title
Design and Applications of Nature Inspired Optimization
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-17929-7_6
Book ISBNs
978-3-03-117928-0, 978-3-03-117929-7
Authors

Banerjee, Mousumi, Garg, Vanita, Deep, Kusum

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