Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (SpringerBriefs in Applied Sciences and Technology)
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.
yazar | Micael Couceiro |
---|---|
Boyutlar ve boyutlar | 15,5 x 0,5 x 23,5 cm |
Tarafından yayınlandı | 26 Haziran 2015 |
30 Ekim 2011 18,9 x 0,6 x 24,6 cm Mdpi AG ROBERT H BORK 1 Ocak 2017 29 Ekim 2011 ERWIN N GRISWOLD Kolektif Additional Contributors 15 x 0,5 x 22 cm 18,9 x 0,5 x 24,6 cm 28 Şubat 2018 3 Ocak 2017 18,9 x 0,4 x 24,6 cm 18,9 x 0,3 x 24,6 cm 18,9 x 0,2 x 24,6 cm WADE H MCCREE 28 Ekim 2011
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Sürüm ayrıntıları
yazar | Micael Couceiro |
---|---|
isbn 10 | 3319196340 |
isbn 13 | 978-3319196343 |
Yayımcı | Springer; 2016. baskı |
Dilim | İngilizce |
Boyutlar ve boyutlar | 15,5 x 0,5 x 23,5 cm |
Tarafından yayınlandı Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (SpringerBriefs in Applied Sciences and Technology) | 26 Haziran 2015 |
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