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Handbook of Nature-Inspired and Innovative Computing

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Cover of 'Handbook of Nature-Inspired and Innovative Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Changing Challenges for Collaborative Algorithmics
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    Chapter 2 Arm++: A Hybrid Association Rule Mining Algorithm
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    Chapter 3 Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems
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    Chapter 4 Evolutionary Paradigms
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    Chapter 5 Artificial Neural Networks
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    Chapter 6 Swarm Intelligence
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    Chapter 7 Fuzzy Logic
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    Chapter 8 Quantum Computing
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    Chapter 9 Computer Architecture
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    Chapter 10 A Glance at VLSI Optical Interconnects: from the Abstract Modelings of the 1980s to Today’s MEMS Implementations (A Survey Report)
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    Chapter 11 Morphware and Configware
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    Chapter 12 Evolving Hardware
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    Chapter 13 Implementing Neural Models in Silicon
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    Chapter 14 Handbook of Nature-Inspired and Innovative Computing
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    Chapter 15 Trends in High-Performance Computing
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    Chapter 16 Cluster Computing: High-Performance, High-Availability, and High-Throughput Processing on a Network of Computers
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    Chapter 17 Handbook of Nature-Inspired and Innovative Computing
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    Chapter 18 Predicting Grid Resource Performance Online
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    Chapter 19 Pervasive Computing: Enabling Technologies and Challenges
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    Chapter 20 Information Display
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    Chapter 21 Bioinformatics
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    Chapter 22 Noise in Foreign Exchange Markets
Attention for Chapter 6: Swarm Intelligence
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Citations

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55 Mendeley
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Chapter title
Swarm Intelligence
Chapter number 6
Book title
Handbook of Nature-Inspired and Innovative Computing
Published by
Springer US, January 2006
DOI 10.1007/0-387-27705-6_6
Book ISBNs
978-0-387-40532-2, 978-0-387-27705-9
Authors

James Kennedy, Kennedy, James

Editors

Albert Y. Zomaya

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
China 2 4%
Russia 1 2%
Trinidad and Tobago 1 2%
Portugal 1 2%
Australia 1 2%
Greece 1 2%
Unknown 45 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Student > Master 9 16%
Student > Bachelor 5 9%
Student > Postgraduate 5 9%
Unspecified 4 7%
Other 4 7%
Unknown 16 29%
Readers by discipline Count As %
Computer Science 16 29%
Engineering 16 29%
Unspecified 4 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 16 29%