Approved Special Sessions

 

1. Special Session on “Statistical Analysis Facilitated Evolutionary Computation”

Bin Liu, Nanjing University of Posts and Telecommunications, Nanjing, China
Shi Cheng, University of Nottingham Ningbo, China

Overview

Statistics and optimization are usually treated as two independently developed scientific fields, whereas they have a lot of potential interfaces that could drive these two fields cross-fertilized and thus developed further. It is of great interest to investigate specific means to bring ideas from statistics to facilitate the development of evolutionary computation in solving challenging optimization problems , e.g., optimization under constraints, multi-objective and/or dynamic optimization, "large p, small n" type expensive optimization, etc.   

Topics of Interest

This special session aims at presenting the latest developments of statistical analysis, modeling and computation facilitated EC techniques, as well as exchanging new ideas and discussing the future directions of bridging advanced statistical techniques with EC. Original contributions that provide novel theories, frameworks, and algorithms about statistical analysis faciliated EC are very welcome for this Special Session. Potential topics include, but are not limited to:

  1. Particle filter (a.k.a Sequential Monte Carlo) optimization algorithms
  2. Markov Chain Monte Carlo and evolutionary optimization
  3. Bayesian optimization
  4. Surrogate Model based EC
  5. Data-driven design of annealing temperature ladders for simulated annealing
  6. EC with dimension reduction
  7. Fusion of stochastic gradient descent and EC
  8. Related theories and applications

Submission

Please follow the ICSI 2016 instruction for authors and submit your paper via the ICSI 2016 online submission system. Please specify that your paper is for the Special Session on Statistical Analysis Facilitated Evolutionary Computation.

Important Dates

Paper Submission Deadline:                January 30, 2016
Notification of Acceptance:                  March 15, 2016
Final Paper Submission Deadline:      April 15, 2016

Organisers

Bin Liu, Nanjing University of Posts and Telecommunications, Nanjing, China, [email protected]
Shi Cheng, University of Nottingham Ningbo, China, [email protected]

Biography

Bin Liu received the Bachelor's degree in Automation from Beijing University of Posts and Telecommunications, the Ph.D. degree in Signal and information processing from Chinese Academy of Sciences, in 2004, and 2009, respectively. He is an associate Professor with School of computer science and technology, Nanjing University of Posts and Telecommunications. He was a research scholar with Department of Statistical Science, Duke University and Statistical and Applied Mathematical Sciences Institute (SAMSI). He once held a position of senior research fellow in Kuang-Chi Institute and of senior engineer in Huawei Technologies Co.,Ltd. His current scientific interests include Bayesian Statistics and their applications in interdisciplinary problems.


Shi Cheng received the Bachelor's degree in Mechanical and Electrical Engineering from Xiamen University, Xiamen, the Master's degree in Software Engineering from Beihang University (BUAA), Beijing, China, the Ph.D. degree in Electrical Engineering and Electronics from Liverpool University, Liverpool, United Kingdom, the Ph.D. degree in Electrical and Electronic Engineering from Xi’an Jiaotong-Liverpool University, Suzhou, China in 2005, 2008, and 2013, respectively. He is currently a research fellow with Division of Computer Science, University of Nottingham Ningbo, China. He has published more than 30 research articles in peer-reviewed journals and international conferences. His current research interests include swarm intelligence, multiobjective optimization, and data mining techniques and their applications.

 

2. Special Session on “Constrained Optimization Evolutionary Algorithms”

Yong Wang, Central South University, Changsha, China
Chengyong Si, University of Shanghai for Science and Technology, Shanghai, China

Overview
The Evolutionary Algorithms (EAs) are essentially unconstraint search techniques and can be mainly used to generate solutions. Equivalently, choosing the better solutions especially for the Constrained Optimization Problems (COPs) is another important research area in optimization, which leads to the development of various constrained optimization evolutionary algorithms (COEAs).

Topics of interest
The objective of this session is to present the recent developments in constrained optimization, especially for single-, multi-, and many-objective optimization, with different constraint handling techniques. The original contributions related with the COEAs are very welcome for this session. Potential topics include, but are not limited to:

1. Novel constraint-handling techniques for constrained optimization
2. Novel search algorithms for constrained optimization
3. Hybrid framework for constrained optimization
4. Theoretical analysis for constrained optimization, especially for the balance between objective function and constraint violation
5. Performance evaluation in constrained optimization
6. Engineering applications

Submission
Please follow the ICSI 2016 instruction for authors and submit your paper via the ICSI 2016 online submission system. Please specify that your paper is for the Special Session on Constrained Optimization Evolutionary Algorithms.

Important Dates
Paper Submission Deadline:      January 30, 2016
Notification of Acceptance:        March 15, 2016
Final Paper Submission Deadline:  April 15, 2016

Organizers
Yong Wang, Central South University, Changsha, China
Chengyong Si, University of Shanghai for Science and Technology, Shanghai, China

Biography
Yong Wang received the B.S. degree in automation from the Wuhan Institute of Technology, Wuhan, China, in 2003, and the M.S. degree in pattern recognition and intelligent systems and the Ph.D. degree in control science and engineering from Central South University (CSU), Changsha, China, in 2006 and 2011, respectively. He is currently an Associate Professor with the School of Information Science and Engineering, CSU. His current research interests include evolutionary computation, single-objective optimization, constrained optimization, multiobjective optimization, and their real-world applications.

Dr. Wang was a recipient of the Hong Kong Scholar by the Mainland–Hong Kong Joint Postdoctoral Fellows Program, China, in 2013, the Excellent Doctoral Dissertation by Hunan Province, China, in 2013, the New Century Excellent Talents in University by the Ministry of Education, China, in 2013, and the 2015 IEEE Computational Intelligence Society (CIS) Outstanding Ph.D. Dissertation Award. He is currently serving as an Associate Editor for the Swarm and Evolutionary Computation. He is a member of the IEEE CIS Task Force on Nature-Inspired Constrained Optimization and the IEEE CIS Task Force on Differential Evolution. He was a Reviewer of 50+ international journals and a PC Member of 30+ international conferences.

Chengyong Si received the Bachelor’s degree in Automation from Jimei University, Xiamen, the Master’s 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 is currently a lecture with Shanghai-Hamburg College, University of Shanghai for Science and Technology (USST), Shanghai, China. He was a research scholar with Institute for Electronics Engineering, University of Erlangen-Nuernberg. His current research includes evolutionary computation, constrained optimization, multiobjective optimization, and their applications.

 

3. Special Session on "Swarm intelligence in Management Decsion Making and Operations Research"

Ben Niu, Shenzhen University, Shenzhen, China
Jing Liang, Zhenzhou University, Zhenzhou, China
Xianghua Chu, Shenzhen University, Shenzhen, China
Yanmin Liu, Zunyi Normal College
, Zunyi, China

Overview

Swarm intelligence is a natural and artificial system with decentralized control and self-organization. As a multidisciplinary research inspired by nature, this field typically focuses on the use of collective behaviors deriving from a population of simple interactive agents. Recently, there has been increasing interests to invent and apply novel swarm intelligence algorithms (SIAs), such as ant colony optimization (ACO), particle swarm optimization (PSO), and bacterial foraging optimization (BFO), for addressing complex problems efficiently and effectively. SIA has been successfully applied to various real-world problems in the field of management decision making and operations research.
In spite of the remarkable interests of research on SIAs, there are still many pending issues and intriguing challenges in management decision making and operations research relevant fields. The aims of this special session are to promote the theoretical development and applications of SIAs in the field of management decision making and operations research.

Topics of Interest

This special session is devoted to publishing original and high-quality work in the areas including but not limited to

  • Particle swarm optimization
  • Ant colony optimization
  • Bee colony algorithms
  • Bacterial foraging optimization
  • Bacterial colony optimization
  • Brain Storm optimization
  • Artificial fish search algorithm
  • Krill herd algorithm
  • Other algorithms inspired by swarm intelligence
  • Operations research
  • Management science
  • Decision making
  • Industrial engineering
  • Information systems
  • Others

Submission

Please follow the ICSI 2016 instruction for authors and submit your paper via the ICSI 2016 online submission system. Please specify that your paper is for the Special Session on Swarm intelligence in management decision making and operations research.

Important Dates

Paper Submission Deadline:      January 30, 2016
Notification of Acceptance:          March 15, 2016
Final Paper Submission Deadline:  April 15, 2016

Organisers

Ben Niu       Shenzhen University   [email protected]
Jing Liang     Zhenzhou University   [email protected]
Xianghua Chu  Shenzhen University   [email protected]
Yanmin Liu    Zunyi normal College  [email protected]

Biography

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 Fellow at The Hong Kong Polytechnic 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.

J. J. Liang received the B. Eng. degree from Harbin Institute of Technology, China and the Ph.D. degree from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. She is currently a Professor in the School of Electrical Engineering, Zhengzhou University, China. Her main research interests are evolutionary computation, swarm intelligence, multi-objective optimization and applications of evolutionary computation.

Xianghua Chu received the Ph.D. degree in Management Science and Engineering from Harbin Institute of Technology, in 2014. From 2012 to 2015 he worked as the joint Ph.D. student and the postdoctoral fellow respectively in Industrial Engineering, Arizona State University. He currently serves as an assistant professor in Department of Management Science, Shenzhen University. His research interests include swarm intelligence, decision making and relevant applications in management field.

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.

 

4. Special Session on “From Swarm Intelligence to Swarm Robotics”

Qirong Tang, Tongji University, Shanghai, China
Hongwei Mo, Harbin Engineering University, Harbin, China

Overview

Swarm intelligence is a spontaneous attribute which has attracted researchers’ attention for decades since it leads to systems possess significant power in forming patterns of matter. Thus, swarm intelligence is gradually appearing in many areas, e.g., computation, modeling, scheduling management, optimization of system integration. Very interesting application objectives can be robots (especially swarm robots), vehicles, rotors, and so on. Although swarms can provide a super behavior compare to simple individuals, it is still a challenge to understand it fully and in detail. Swarms are not just capable of doing what a single can do, but more capable. There are still many issues worth to be studied in swarm intelligence for real application such as for swarm robotics and relevant topics. All of these evoke our research interests.


Topics of Interest

The objective of this session is to present the recent developments on either swarm intelligence itself or on related applications. Original researches are very welcomed for this session.
Potential topics include, but are not limited to

(1) Swarm robotics, e.g., swarm robots control techniques, swarm algorithms application on robots, …
(2) Swarm intelligence on unmanned aerial vehicles, quadrotors, …
(3) Swarm intelligence on under water vehicles (robots).
(4) Robots oriented motors.
(5) Swarm intelligence on scheduling and management.
(6) Stigmergy strategies for swarm robots.
(7) Modelling and simulation of swarm intelligent algorithms: e.g., PSO, ACO, GA, NN, AIS,...
(8) Others.

Submission


Please follow the ICSI 2016 instruction for authors and submit your paper via the ICSI 2016 online submission system. Please specify that your paper is for the Special Session of “From Swarm Intelligence to Swarm Robotics”.

Important Dates

Paper Submission Deadline:         January 30, 2016
Notification of Acceptance:           March 15, 2016
Final Paper Submission Deadline:    April 15, 2016

 

Organizers

Qirong Tang, Tongji University, Shanghai, China, [email protected]
Hongwei Mo, Harbin Engineering University, Harbin, China, [email protected]

 

Biography

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), with the School of Mechanical Engineering of Tongji University, Shanghai, China. His group’s research interests include “Swarm Intelligence 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.edu.cn/

Hongwei Mo was a visiting scholar at the College of Engineering, University of California, Davis from October 2003 to October 2004, an Associate Professor at the College of Automation, Harbin Engineering University from September 2004 to July 2007. He is presently serving as a Professor and Deputy Director of the Pattern Recognition and Intelligent Institute, Harbin Engineering University, Harbin. His current research interests include Artificial Intelligence and Intelligent System, Intelligent Robot, UAV System and Intelligent Control, Nature-inspired Computing and Application, Artificial Immune System and Immunoinformatics, and many others.

 

To be added.

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ICSI Call for Special Session Proposals

ICSI 2016 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 1, 2016 and should be sent via e-mail (in either pdf or plain ASCII text form) to the special sessions chair (Dr. Shi Cheng at [email protected]) and forward to ICSI 2016 secretariat at [email protected].

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 1, 2016. Authors of papers included in approved special sessions should submit their manuscript on or before January 30, 2016. 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.