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02908nam a22004935i 4500 |
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978-3-319-19635-0 |
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DE-He213 |
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20151204191434.0 |
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cr nn 008mamaa |
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150616s2016 gw | s |||| 0|eng d |
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|a 9783319196350
|9 978-3-319-19635-0
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|a 10.1007/978-3-319-19635-0
|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 Couceiro, Micael.
|e author.
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| 245 |
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|a Fractional Order Darwinian Particle Swarm Optimization
|h [electronic resource] :
|b Applications and Evaluation of an Evolutionary Algorithm /
|c by Micael Couceiro, Pedram Ghamisi.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a X, 75 p. 27 illus., 24 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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| 338 |
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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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| 490 |
1 |
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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| 505 |
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|a Particle Swarm Optimization (PSO) -- Fractional Order Darwinian PSO (FODPSO) -- Case Study I: Curve Fitting -- Case Study II: Image Segmentation -- Case Study III: Swarm Robotics -- Conclusions.
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| 520 |
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|a This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.
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| 650 |
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|a Engineering.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a System theory.
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| 650 |
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0 |
|a Computational intelligence.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Systems Theory, Control.
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| 700 |
1 |
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|a Ghamisi, Pedram.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319196343
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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 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-19635-0
|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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