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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
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Citations

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Title
Nature-Inspired Optimizers
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-12127-3
ISBNs
978-3-03-012126-6, 978-3-03-012127-3
Editors

Mirjalili, Seyedali, Song Dong, Jin, Lewis, Andrew

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 20%
Student > Master 23 19%
Student > Bachelor 11 9%
Researcher 10 8%
Lecturer 9 7%
Other 16 13%
Unknown 28 23%
Readers by discipline Count As %
Engineering 44 36%
Computer Science 21 17%
Mathematics 5 4%
Agricultural and Biological Sciences 3 2%
Decision Sciences 2 2%
Other 9 7%
Unknown 38 31%