Micael Couceiro

(Author)

Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (2016)Paperback - 2016, 26 June 2015

Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (2016)
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Part of Series
Springerbriefs in Applied Sciences and Technology
Print Length
75 pages
Language
English
Publisher
Springer
Date Published
26 Jun 2015
ISBN-10
3319196340
ISBN-13
9783319196343

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.

Product Details

Authors:
Micael CouceiroPedram Ghamisi
Book Edition:
2016
Book Format:
Paperback
Country of Origin:
NL
Date Published:
26 June 2015
Dimensions:
23.39 x 15.6 x 0.46 cm
ISBN-10:
3319196340
ISBN-13:
9783319196343
Language:
English
Location:
Cham
Pages:
75
Publisher:
Weight:
136.08 gm

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