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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 13: Whale Optimization Algorithm: Theory, Literature Review, and Application in Designing Photonic Crystal Filters
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51 Mendeley
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Chapter title
Whale Optimization Algorithm: Theory, Literature Review, and Application in Designing Photonic Crystal Filters
Chapter number 13
Book title
Nature-Inspired Optimizers
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-12127-3_13
Book ISBNs
978-3-03-012126-6, 978-3-03-012127-3
Authors

Seyedehzahra Mirjalili, Seyed Mohammad Mirjalili, Shahrzad Saremi, Seyedali Mirjalili

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Master 7 14%
Professor > Associate Professor 6 12%
Student > Ph. D. Student 4 8%
Student > Bachelor 3 6%
Other 6 12%
Unknown 17 33%
Readers by discipline Count As %
Engineering 13 25%
Computer Science 9 18%
Social Sciences 2 4%
Unspecified 1 2%
Chemical Engineering 1 2%
Other 0 0%
Unknown 25 49%