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Advanced Optimization by Nature-Inspired Algorithms

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Overall attention for this book and its chapters
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81 Mendeley
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Title
Advanced Optimization by Nature-Inspired Algorithms
Published by
Springer Singapore, January 2018
DOI 10.1007/978-981-10-5221-7
ISBNs
978-9-81-105221-7, 978-9-81-105220-0
Editors

Omid Bozorg-Haddad

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 14%
Student > Ph. D. Student 10 12%
Researcher 7 9%
Student > Bachelor 4 5%
Student > Doctoral Student 3 4%
Other 9 11%
Unknown 37 46%
Readers by discipline Count As %
Engineering 18 22%
Computer Science 14 17%
Energy 2 2%
Neuroscience 2 2%
Business, Management and Accounting 1 1%
Other 5 6%
Unknown 39 48%