Approved Special Sessions
1. Special Issue on “Comparison Techniques of Heuristic Algorithms”
To date, various kinds of heuristic algorithms and their variants, hybridizations are proposed. However, the algorithms have different performances to different problems. According to the No Free Lunch (NFL) Theory, there is no single algorithm can outperform all others to all possible problems. Hence, it is crucial to give a fair and comprehensive analysis to compare different kinds of heuristic algorithms. In this special session, we would like to call for papers which focus on the comparison of different kinds of algorithms.
Topics of interest
The objective of this session is to present the recent developments in comparison of algorithms, especially for single-, multi-, and many-objective optimization, with straightforward comparison, theoretical or experimental analysis, statistical techniques and data mining techniques. The original contributions related with the comparisons of nature-inspired algorithms are very welcome for this session. Potential topics include, but are not limited to:
- Novel comparison techniques for heuristic algorithms
- Novel algorithms which exhibit powerful ability by all kinds of comparisons
- Hybrid techniques to compare different algorithms
- Process-oriented comparison for algorithms
- Experimental or theoretical results/analysis of algorithms’ comparison
- Selection strategy for algorithms
- Practical applications
Weian Guo, Tongji University, Shanghai, China, email@example.com
Chenyong Si, University of Shanghai for Science and Technology, firstname.lastname@example.org
Qinqin Fan，Shanghai Maritime University, email@example.com
Short Biography of the organizers:
Weian GUO received Ph,D of Control Theory and Engineering from Tongji University, Shanghai, China in 2014. From 2011 to 2013, he was invited as a visit scholar to carry on his research in Social Robotics Lab, National University of Singapore. Currently, he works as an associate professor in Sino-German College of Applied Sciences, Tongji University. His interests include computational intelligence, heuristic algorithms and the applications.
Chengyong SI received the Bachelors degree in Automation from Jimei University, Xiamen, the Masters degree in control theory and control engineering from Shanghai Maritime University (SMU), Shanghai, the Ph.D. degree in control theory and control engineering from Tongji University, Shanghai, China, in 2007, 2009, and 2013, respectively. He was a Research Scholar with the Institute for Electronics Engineering, University of Erlangen Nuernberg, Erlangen, Germany. He is currently a Lecturer with Shanghai-Hamburg College, University of Shanghai for Science and Technology (USST), Shanghai, China. His research interests include evolutionary computation, constrained optimization, multi-objective optimization, and their applications.
Qinqin Fan received the B.S. degree from Wuhan Institute of Technology in 2007, and the Ph.D. degree from East China University of Science & Technology in 2015. Since 2015, He is now a lecturer of Shanghai Maritime University, Shanghai, China. His current research interests include differential evolution algorithm, particle swarm optimization, constrained optimization, multi-objective optimization, and their real-world applications.
Please follow the ICSI 2017 instruction for authors and submit your paper via the ICSI 2017 online submission system. Please specify that your paper is for the Special Session on Comparison Techniques of Heuristic Algorithms.
Paper Submission Deadline: January 30, 2017
Notification of Acceptance: March 31, 2017
Final Paper Submission Deadline: April 15, 2017
Notification of Acceptance: March 31, 2017
Camera Ready: April 30, 2017
2. Special Session on “Intelligent Algorithms for Robotic and Mechatronic Systems”
Prof. Dr.-Ing. Qirong Tang, Laboratory of Robotics and Multibody System (RMB),
Tongji University, Shanghai, China
（URL: http://robotics-tongji.org/members/qtang ）
Prof. Dr. Yinan Guo, China University of Mining & Technology, Xuzhou, China
Intelligent algorithms play very important roles in many fields including, but not limited to, robotics, mechatronics and related systems. In recent three to five years, researchers noticed the truth of that ‘Intelligent Algorithms’ will be the soul of many systems and even services. To the technical point of view, intelligent algorithms have gradually appearing in, e.g., computation, modeling, diagnosis, scheduling management, optimization of system integration. Very interesting application objectives can be those diagnosed and integrated systems, such as robots, vehicles, rotors, and so on. Although systems employed with traditional algorithms can provide super behavior compare to the originals, it is still a challenge to understand them fully and enhance their intelligence. There are many issues yet worth to be studied for intelligent algorithms and further their applications. All of these evoke our research interests.
Topics of Interest
The objective of this session is to present the recent developments on intelligent algorithms, e.g., PSO, Stigmergy, ACO, NN, FA, BSO, GA, ABC, AIS, themselves or on related applications. Original researches are very welcomed for this session. Potential topics include, but are not limited to
(1) Purely intelligent algorithms research on PSO, Stigmergy, ACO, NN, FA, BSO, GA, ABC, AIS, and so on with applications in potential
(2) Intelligent algorithms on unmanned aerial vehicles, quadrotors, …
(3) Intelligent algorithms for system diagnosis
(4) Intelligent algorithms on robotics
(5) Intelligent algorithms on underwater vehicles
(6) Intelligent algorithms on innovative mechatronic systems
(7) Intelligent algorithms on scheduling and management
(8) Stigmergy strategies for robots or other mechatronic systems
Please follow the ICSI 2017 instruction for authors and submit your paper via the ICSI 2017 online submission system. Please specify that your paper is for the Special Session of “Intelligent Algorithms for Robotic and Mechatronic Systems”. If the submission system is not ready for this specification, after your submission please send an email to the special session chairs and meanwhile copy to the conference secretary firstname.lastname@example.org to indicate that your paper is dedicated for this Special Session.
Paper Submission Deadline: Feb 20, 2017
Notification of Acceptance: March 31, 2017
Author Registration: April 15, 2017
Camera-ready Copy: April 30, 2017
Qirong Tang received his Bachelor and Master degrees from Harbin Institute of Technology (HIT) in 2006 and 2008, respectively. He obtained doctoral degree in Mechanical Engineering from University of Stuttgart, Germany, in 2012. He is currently a full professor and the Founding Director of the Laboratory of Robotics and Multibody System (RMB), School of Mechanical Engineering, Tongji University, Shanghai, China. His group’s research interests include “Intelligent Algorithms and Swarm Robotics”, “Robot Manipulators”, “Underwater Vehicles”, “Quadrotors”, “Multibody System Dynamics”, “Robot Navigation and Control”, “Industry 4.0 and Robots Coordination in Smart Factory”, and so on. The website of his laboratory can be found at the following link: http://robotics-tongji.org/
Yinan Guo received her PhD degree in control theories and their applications from China University of Mining and Technology, China, in 2003. From September 2000, she worked as a Lecture, Associate professor and Professor in China University of Mining and Technology respectively. In 2001, she done cooperative research on computational intelligence as an academic visitor in Tsinghua University. In 2012, she done cooperative research on computational intelligence as an academic visitor in Cercia, School of Computer Science, Birmingham University, UK. Her current research interests include dynamic and uncertainty evolutionary algorithms, data-driven intelligence optimization methods, industrial robots and their control, and relevant real-world applications.
3. Special Session on Nature-inspired Optimization: Theory and Application
Nature does things in an amazing and way, which provides the inspirations to enrich the new concepts, methods and tools to perform the complex tasks. Human has been trying to understand the nature by exploring the underlying principles and mechanisms such as bird flocking, ant colonies, fish schooling, bacterial foraging, bee colonies, and animal herding. The field of nature-inspired optimization focuses on the physics- and biology-based optimization algorithms including Particle Swarm Optimization, Ant Colony Optimization, Bacterial Foraging Optimization, and Bee Colony Optimization, etc. The applications of those optimization algorithms are fairly vast such as job scheduling, data mining, design optimization, and pattern recognition.
The special session aims to collect a series of leading and cutting-edge articles on ideas, concepts, and technologies that are inspired by nature. Applications of those nature-inspired optimization algorithms are all welcome.
Research areas relevant to the special issue include, but are not limited to, the following topics:
- Particle swarm optimization
- Ant colony optimization
- Bee colony optimization
- Bacterial foraging optimization
- Artificial fish search algorithm
- Other nature-inspired optimization algorithms
Applications of the above algorithms include but not limited to
- Operations research
- Decision making
- Management optimization
- Information systems
- Power and energy systems
- Data mining,
- Multi-objective optimization,
- Pattern recognition,
- Robotics, and
- Other relating applications
Please follow the ICSI 2017 instruction for authors and submit your paper via the ICSI 2017 online submission system. Please specify that your paper is for the Special Session on Nature-inspired Optimization: Theory & Application.
Ben Niu received the PhD. degree from Shenyang Institute of Automation of the Chinese Academy of Sciences, Shenyang, China, in 2008. He is presently serving as a Professor and department head with the Department of Management Science, Shenzhen University. Currently He is also a Research Scholar at Arizona State University. His main fields of research are Swarm Intelligence, Bio-inspired Computing, Multi-objective Optimization and their applications on Supply Chain Optimization, Business Intelligence, and Portfolio Optimization.
Hong Wang obtained the B.S. degree in Information and Computing Science from College of Information, Hainan University, Hainan, China, in 2010, the M.S degree in Management Science and Engineering from College of Management, Shenzhen University, Shenzhen, China in 2013. She is currently pursuing her Ph. D. degree in The Hong Kong Polytechnic University, Hong Kong, China. Her research interests focus on Artificial Intelligence, Bio-inspire Computing, and Big Data related to Biology, Engineering and Mathematics.
Yanmin Liu received the B.S. degree in applied mathematics from Harbin Institute of Technology, Haerbin, China, in 2001, the M.S. degree in Control science and engineering from Heilongjiang Bayi Agricultural University, Daqing, China, in 2006, and the PhD. degree in Decision theory and application from Shandong Normal University, Jinan, China, in 2011. He is presently serving as a professor in College of Mathematical and Computational Science, Zunyi normal College. His main fields of research are Swarm Intelligence, Bio-inspired Computing, Multi-objective Optimization and their applications on supply chain.
To be added.
ICSI Call for Special Session Proposals
ICSI 2017 technical program will include special sessions. Their aim is to provide a complementary flavor to the regular sessions and should include hot topics of interest to the swarm intelligence community that may also go beyond disciplines traditionally represented at ICSI.
Prospective organizers of special sessions should submit proposals indicating:
* Title of the session.
* Rationale of the need for the special session at ICSI.
The rationale should stress the novelty of the topic and/or its multidisciplinary flavor, and must explain how it is different from the subjects covered by the regular sessions.
* Short biography of the organizers.
* List of 5 – 6 contributed papers (including titles, authors, contact information of the corresponding author) (this can also be provided later when they become available).
Proposals are due on or before January 01, 2017 and should be sent via e-mail (in either pdf or plain ASCII text form) to the special sessions chairs (Prof. Shangce Gao or Prof. Ben Niu or Prof. Qirong Tang) and forward to ICSI 2017 secretariat at email@example.com.
Proposals will be evaluated based on the timeliness of the topic, the qualifications of the organizers and the authors of the papers proposed in the session. In its decision, the committee will try to realize a balance of the topics across the technical areas represented in swarm intelligence.
Notification of acceptance will be sent to the organizers no later than January 01, 2017. Authors of papers included in approved special sessions should submit their manuscript on or before January 30, 2017. Manuscripts should conform to the formatting and electronic submission guidelines of regular ICSI papers (Springer’s LNCS format).
When they submit papers, there is a choice to indicate that their papers are special session papers which will also undergo peer review. It is the responsibility of the organizers to ensure that their special session meets the ICSI quality standards. If, at the end of the review process, less than four papers are accepted, the session will be canceled and the accepted papers will be moved to regular sessions.