Fractional Order Darwinian Particle Swarm Optimization

Applications and Evaluation of an Evolutionary Algorithm de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2015-06-16

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Description

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.
Pages
75 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2015-06-16
Marque
Springer
EAN papier
9783319196343
EAN PDF
9783319196350

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
5140 Ko
Prix
52,74 €
EAN EPUB
9783319196350

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
1792 Ko
Prix
52,74 €