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02816nam a22005055i 4500 |
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978-3-319-08356-8 |
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DE-He213 |
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20151030031343.0 |
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cr nn 008mamaa |
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140722s2015 gw | s |||| 0|eng d |
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|a 9783319083568
|9 978-3-319-08356-8
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|a 10.1007/978-3-319-08356-8
|2 doi
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|d GrThAP
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|a Q342
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|a UYQ
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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|a Wang, Xiaolei.
|e author.
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|a An Introduction to Harmony Search Optimization Method
|h [electronic resource] /
|c by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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| 300 |
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|a VI, 88 p. 46 illus., 5 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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|a Introduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions.
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|a This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.
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|a Engineering.
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|a Artificial intelligence.
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| 650 |
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|a Mathematical optimization.
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| 650 |
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|a Computational intelligence.
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|a Engineering.
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| 650 |
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|a Computational Intelligence.
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| 650 |
2 |
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
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4 |
|a Optimization.
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| 700 |
1 |
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|a Gao, Xiao-Zhi.
|e author.
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| 700 |
1 |
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|a Zenger, Kai.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319083551
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| 830 |
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-08356-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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