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Handbook of Swarm Intelligence

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Cover of 'Handbook of Swarm Intelligence'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 From Theory to Practice in Particle Swarm Optimization
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    Chapter 2 What Makes Particle Swarm Optimization a Very Interesting and Powerful Algorithm?
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    Chapter 3 Developing Niching Algorithms in Particle Swarm Optimization
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    Chapter 4 Test Function Generators for Assessing the Performance of PSO Algorithms in Multimodal Optimization
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    Chapter 5 Linkage Sensitive Particle Swarm Optimization
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    Chapter 6 Parallel Particle Swarm Optimization Algorithm Based on Graphic Processing Units
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    Chapter 7 Velocity Adaptation in Particle Swarm Optimization
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    Chapter 8 Integral-Controlled Particle Swarm Optimization
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    Chapter 9 Particle Swarm Optimization for Markerless Full Body Motion Capture
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    Chapter 10 An Adaptive Multi-Objective Particle Swarm Optimization Algorithm with Constraint Handling
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    Chapter 11 Multiobjective Particle Swarm Optimization for Optimal Power Flow Problem
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    Chapter 12 A Multi-objective Resource Assignment Problem in Product Driven Supply Chain Using Quantum Inspired Particle Swarm Algorithm
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    Chapter 13 Honeybee Optimisation – An Overview and a New Bee Inspired Optimisation Scheme
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    Chapter 14 Parallel Approaches for the Artificial Bee Colony Algorithm
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    Chapter 15 Bumble Bees Mating Optimization Algorithm for the Vehicle Routing Problem
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    Chapter 16 Ant Colony Optimization: Principle, Convergence and Application
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    Chapter 17 Optimization of Fuzzy Logic Controllers for Robotic Autonomous Systems with PSO and ACO
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    Chapter 18 A New Framework for Optimization Based-On Hybrid Swarm Intelligence
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    Chapter 19 Glowworm Swarm Optimization for Multimodal Search Spaces
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    Chapter 20 Direct and Inverse Modeling of Plants Using Cat Swarm Optimization
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    Chapter 21 Parallel Bacterial Foraging Optimization
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    Chapter 22 Reliability-Redundancy Optimization Using a Chaotic Differential Harmony Search Algorithm
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    Chapter 23 Gene Regulatory Network Identification from Gene Expression Time Series Data Using Swarm Intelligence
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Title
Handbook of Swarm Intelligence
Published by
Springer Berlin Heidelberg, January 2011
DOI 10.1007/978-3-642-17390-5
ISBNs
978-3-64-217389-9, 978-3-64-217390-5
Editors

Bijaya Ketan Panigrahi, Yuhui Shi, Meng-Hiot Lim

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Spain 1 1%
India 1 1%
Brazil 1 1%
Unknown 83 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Student > Master 14 16%
Researcher 9 10%
Student > Bachelor 5 6%
Student > Doctoral Student 4 5%
Other 16 18%
Unknown 21 24%
Readers by discipline Count As %
Engineering 30 34%
Computer Science 20 23%
Mathematics 3 3%
Agricultural and Biological Sciences 2 2%
Physics and Astronomy 2 2%
Other 6 7%
Unknown 24 28%