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024 7 $a10.1007/978-3-319-19635-0
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035   $a(DE-He213)978-3-319-19635-0
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100   $a20150616d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aFractional Order Darwinian Particle Swarm Optimization $eApplications and Evaluation of an Evolutionary Algorithm /$fby Micael Couceiro, Pedram Ghamisi
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (82 p.)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
300   $aDescription based upon print version of record.
311   $a3-319-19634-0 
320   $aIncludes bibliographical references.
327   $aParticle Swarm Optimization (PSO) -- Fractional Order Darwinian PSO (FODPSO) -- Case Study I: Curve Fitting -- Case Study II: Image Segmentation -- Case Study III: Swarm Robotics -- Conclusions.
330   $aThis book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aSystem theory
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aSystem theory.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aSystems Theory, Control.
676   $a006.3
700   $aCouceiro$b Micael$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064544
702   $aGhamisi$b Pedram$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254188603321
996   $aFractional Order Darwinian Particle Swarm Optimization$92538833
997   $aUNINA