18:11, Thursday, Aug 1, 2013 by Long Chen
UNIVERSITY
OF MACAU
FACULTY OF SCIENCE AND TECHNOLOGY
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
------------------------------
Ref: FST/SEM/00061/2013
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“Overview of Swarm Intelligence”
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by
Prof. Jeng-Shyang PAN
Honorary Director
Shenzhen Graduate School
Harbin Institute of Technology
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Date : 06/08/2013 (TUESDAY)
Time : 09:30
Venue : JG06
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Abstract
Swarm intelligence (SI) is based on collective behavior of self-organized
systems. Typical swarm intelligence schemes include particle swarm
optimization (PSO), ant colony system (ACS), stochastic diffusion search
(SDS), bacteria foraging (BF), the bees algorithm, swarm robotics, etc.
Besides the applications to conventional optimization problems, SI can be
used in controlling robots and unmanned vehicles, predicting social
behaviors, enhancing the telecommunication and computer networks, etc.
Indeed, the use of swarm optimization can be applied to a variety of fields
in engineering and social sciences. This talk reviews some popular
algorithms in the field of swarm intelligence for problems of optimization.
The overview and experiments of Particle Swarm Optimization (PSO), Ant
Colony System (ACS) and Cat Swarm Optimization (CSO) are given. The parallel
versions of ACS, PSO and CSO are also introduced. In addition, some
comparisons are made between these algorithms.
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Biography
Jeng-Shyang Pan received the B. S. degree in Electronic Engineering from the
National Taiwan University of Science and Technology in 1986, the M. S.
degree in Communication Engineering from the National Chiao Tung University,
Taiwan in 1988, and the Ph.D. degree in Electrical Engineering from the
University of Edinburgh, U.K. in 1996. Currently, he is the Doctoral advisor
in Harbin Institute of Technology and Professor in the Department of
Electronic Engineering, National Kaohsiung University of Applied Sciences,
Taiwan. He has published more than 400 papers in which 120 papers are
indexed by SCI. He is the IET Fellow, UK and the Vice Chair of IEEE Tainan
Section. He was Awarded Gold Prize in the International Micro Mechanisms
Contest held in Tokyo, Japan in 2010. He was also awarded Gold Medal in the
Pittsburgh Invention & New Product Exposition (INPEX) in 2010, Gold Medal in
the International Exhibition of Geneva Inventions in 2011 and Gold Medal of
the IENA, International “Ideas – Inventions – New products“, Nuremberg,
Germany. He was offered Thousand-Elite-Project in China. He is on the
editorial board of International Journal of Innovative Computing,
Information and Control, LNCS Transactions on Data Hiding and Multimedia
Security, Journal of Computers and Journal of Information Hiding and
Multimedia Signal Processing. His current research interests include soft
computing, robot vision and cloud computing.
-------------------------------------------------------------------------------
ALL ARE WELCOME!
FACULTY OF SCIENCE AND TECHNOLOGY
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
------------------------------
Ref: FST/SEM/00061/2013
-------------------------------------------------------------------------------
“Overview of Swarm Intelligence”
-------------------------------------------------------------------------------
by
Prof. Jeng-Shyang PAN
Honorary Director
Shenzhen Graduate School
Harbin Institute of Technology
-------------------------------------------------------------------------------
Date : 06/08/2013 (TUESDAY)
Time : 09:30
Venue : JG06
-------------------------------------------------------------------------------
Abstract
Swarm intelligence (SI) is based on collective behavior of self-organized
systems. Typical swarm intelligence schemes include particle swarm
optimization (PSO), ant colony system (ACS), stochastic diffusion search
(SDS), bacteria foraging (BF), the bees algorithm, swarm robotics, etc.
Besides the applications to conventional optimization problems, SI can be
used in controlling robots and unmanned vehicles, predicting social
behaviors, enhancing the telecommunication and computer networks, etc.
Indeed, the use of swarm optimization can be applied to a variety of fields
in engineering and social sciences. This talk reviews some popular
algorithms in the field of swarm intelligence for problems of optimization.
The overview and experiments of Particle Swarm Optimization (PSO), Ant
Colony System (ACS) and Cat Swarm Optimization (CSO) are given. The parallel
versions of ACS, PSO and CSO are also introduced. In addition, some
comparisons are made between these algorithms.
-------------------------------------------------------------------------------
Biography
Jeng-Shyang Pan received the B. S. degree in Electronic Engineering from the
National Taiwan University of Science and Technology in 1986, the M. S.
degree in Communication Engineering from the National Chiao Tung University,
Taiwan in 1988, and the Ph.D. degree in Electrical Engineering from the
University of Edinburgh, U.K. in 1996. Currently, he is the Doctoral advisor
in Harbin Institute of Technology and Professor in the Department of
Electronic Engineering, National Kaohsiung University of Applied Sciences,
Taiwan. He has published more than 400 papers in which 120 papers are
indexed by SCI. He is the IET Fellow, UK and the Vice Chair of IEEE Tainan
Section. He was Awarded Gold Prize in the International Micro Mechanisms
Contest held in Tokyo, Japan in 2010. He was also awarded Gold Medal in the
Pittsburgh Invention & New Product Exposition (INPEX) in 2010, Gold Medal in
the International Exhibition of Geneva Inventions in 2011 and Gold Medal of
the IENA, International “Ideas – Inventions – New products“, Nuremberg,
Germany. He was offered Thousand-Elite-Project in China. He is on the
editorial board of International Journal of Innovative Computing,
Information and Control, LNCS Transactions on Data Hiding and Multimedia
Security, Journal of Computers and Journal of Information Hiding and
Multimedia Signal Processing. His current research interests include soft
computing, robot vision and cloud computing.
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ALL ARE WELCOME!
