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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 4: Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection
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Citations

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Chapter title
Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection
Chapter number 4
Book title
Nature-Inspired Optimizers
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-12127-3_4
Book ISBNs
978-3-03-012126-6, 978-3-03-012127-3
Authors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 12%
Professor > Associate Professor 5 10%
Researcher 5 10%
Student > Doctoral Student 5 10%
Professor 3 6%
Other 9 18%
Unknown 16 33%
Readers by discipline Count As %
Computer Science 12 24%
Engineering 8 16%
Chemical Engineering 2 4%
Environmental Science 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 25 51%