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Nature-Inspired Optimizers

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Cover of 'Nature-Inspired Optimizers'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Nature-Inspired Algorithms
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    Chapter 2 Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning
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    Chapter 3 Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks
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    Chapter 4 Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection
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    Chapter 5 Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction
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    Chapter 6 Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems
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    Chapter 7 Grasshopper Optimization Algorithm: Theory, Literature Review, and Application in Hand Posture Estimation
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    Chapter 8 Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering
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    Chapter 9 Moth-Flame Optimization Algorithm: Theory, Literature Review, and Application in Optimal Nonlinear Feedback Control Design
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    Chapter 10 Particle Swarm Optimization: Theory, Literature Review, and Application in Airfoil Design
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    Chapter 11 Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines
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    Chapter 12 Sine Cosine Algorithm: Theory, Literature Review, and Application in Designing Bend Photonic Crystal Waveguides
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    Chapter 13 Whale Optimization Algorithm: Theory, Literature Review, and Application in Designing Photonic Crystal Filters
Attention for Chapter 11: Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines
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Chapter title
Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines
Chapter number 11
Book title
Nature-Inspired Optimizers
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-12127-3_11
Book ISBNs
978-3-03-012126-6, 978-3-03-012127-3
Authors

Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, Majdi Mafarja, Ali Asghar Heidari

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 11%
Student > Master 7 7%
Student > Ph. D. Student 7 7%
Lecturer 7 7%
Student > Bachelor 6 6%
Other 18 19%
Unknown 40 42%
Readers by discipline Count As %
Computer Science 16 17%
Engineering 15 16%
Energy 4 4%
Unspecified 3 3%
Chemical Engineering 2 2%
Other 3 3%
Unknown 52 55%