Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (SpringerBriefs in Applied Sciences and Technology)
Language: English
Published by Springer, 2015
- Softcover
- New
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- Title
- Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (SpringerBriefs in Applied Sciences and Technology)
- Author
- Couceiro, Micael; Ghamisi, Pedram
- Publisher
- Springer
- Publication year
- 2015
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319196340
- ISBN 13
- 9783319196343
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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About the Author
Pedram Ghamisi graduated with a B.Sc. degree in Civil (Survey) Engineering from the Tehran South Campus of Azad University. Then, he obtained the M.Sc. degree with first Class Honours in Remote Sensing at K.N.Toosi University of Technology in 2012. He received the Best Researcher Award for M.Sc. students in K.N.Toosi University of Technology in the academic year 2010-2011. At the 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, July 2013, Mr. Ghamisi was awarded the IEEE Mikio Takagi Prize, for winning the Student Paper Competition at the conference between almost 70 people. He obtained his PhD degree on Electrical and Computer Engineering at the University of Iceland in 2015. His research interests are image processing, soft computing, pattern recognition and remote sensing with the current focus on spectral and spatial techniques for hyperspectral image classification and the integration of LiDAR and hyperspectral data for land cover assessment, and he has published extensively in those fields. He serves as a reviewer for a number of journals including IEEE Trans. on Image Processing, IEEE Trans. on Geoscience and Remote Sensing, IEEE JSTARS, IEEE GRSL and Pattern Recognition Letters.
"About the title" may belong to another edition of this title.
Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
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