GPU-based Parallel Implementation of Swarm Intelligence Algorithms
Author:   Ying Tan (Professor, National Laboratory on Machine Perception, Department of Intelligence Science, School of Electronic Engineering and Computer Science, Peking University, Beijing, China)
Publisher:   Elsevier Science & Technology
ISBN:  

9780128093627


Pages:   256
Publication Date:   31 March 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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GPU-based Parallel Implementation of Swarm Intelligence Algorithms


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Author:   Ying Tan (Professor, National Laboratory on Machine Perception, Department of Intelligence Science, School of Electronic Engineering and Computer Science, Peking University, Beijing, China)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Dimensions:   Width: 19.10cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.570kg
ISBN:  

9780128093627


ISBN 10:   0128093625
Pages:   256
Publication Date:   31 March 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface 1 Introduction 2 GPGPU: General Purpose Computing on the GPU 3 Parallel Models 4 Performance Measurements 5 Implementation Considerations 6 GPU-based Particle Swarm Optimization 7 GPU-based Fireworks Algorithm 8 Attract-Repulse Fireworks Algorithm Using Dynamic Parallelism 9 Other Typical Swarm Intelligence Algorithms based on GPUs 10 GPU-based Random Number Generators 11 Applications 12 A CUDA-Based Test Suit Appendices

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Author Information

Ying Tan is a professor and PhD advisor at the School of Electronics Engineering and Computer Science of Peking University, and director of Computational Intelligence Laboratory at Peking University (PKU). He received his BEng from the EEI, MSc from Xidian Univ., and PhD from Southeast Univ., in 1985, 1988, and 1997, respectively. From 1997, he was a postdoctoral fellow then an associate professor at University of Science and Technology of China (USTC), then served as director of Institute of Intelligent Information Science and a full professor since 2000. He worked with the Chinese University of Hong Kong (CUHK) in 1999 and 2004-2005. He was elected for the 100 talent program of the Chinese Academy of Science (CAS) in 2005

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