Special Session: Evolutionary Scheduling
and Combinatorial Optimization
2017 The IEEE Congress on Evolutionary Computation (CEC)
5-8 June, 2017, Donostia - San Sebasti‡n, Spain
Overview
Evolutionary
scheduling and combinatorial optimisation (ESCO) is
an important research area at the interface of artificial intelligence (AI) and
operations research (OR). ESCO has attracted the attentions of researchers over
the years due to its applicability and interesting computational aspects.
Evolutionary Computation (EC) techniques are suitable for these problems since
they are highly flexible in terms of handling constraints, dynamic changes, and
multiple conflicting objectives. With the growth of new technologies and
business models, researchers in this field have to continuously face with new
challenges, which required innovated solution methods.
Scope and Topics
This
special session focuses on both practical and theoretical aspects of
Evolutionary Scheduling and Combinatorial Optimization. Examples of
evolutionary methods include genetic algorithm, genetic programming,
evolutionary strategies, ant colony optimisation,
particle swarm optimisation, evolutionary based
hyper-heuristics, memetic algorithms.
We
welcome the submissions of quality papers that effectively use the power of EC
techniques to solve hard and practical scheduling and combinatorial
optimization problems. Papers with rigorous analyses of EC techniques and
innovative solutions to handle challenging issues in scheduling and
combinatorial optimisation problems are also highly
encouraged.
Topics
of interest include, but not limited to:
o
Production
scheduling
o
Timetabling
o
Vehicle
routing
o
Project
scheduling
o
Airport
runway scheduling
o
Transport
scheduling
o
Grid/cloud
scheduling
o
Evolutionary
scheduling with Big Data
o
Web
service composition
o
Wireless
networking state location allocation
o
Project
scheduling
o
2D/3D
strip packing
o
Space
allocation
o
Multi-objective
scheduling
o
Multiple
interdependent decisions
o
Automated
heuristic design
o
Innovative
applications of evolutionary scheduling and combinatorial optimisation
Submission
Please
follow the IEEE CEC2017 instruction for authors and submit your paper via the
IEEE CEC 2017 online submission system. Please specify that your paper is for
the Special Session on Evolutionary Scheduling and Combinatorial Optimisation.
Important Dates
30
January 2017, Deadline for submission of full papers
26
February 2017, Notification of acceptance
12
March 2017, Deadline for Final paper submission
5-8
June, 2017, Conference dates
Special Session Organizers
Dr. Su Nguyen, Victoria University of
Wellington, New Zealand
Su Nguyen is the Research Fellow in Evolutionary Computation Research Group (ECRG), Victoria University of Wellington, New Zealand and the Research Lecturer at Hoa Sen University, Vietnam. Su Nguyen has also taken different research positions focusing on quantitative methods for operations management. He was the Research Associate in Industrial and Manufacturing Engineering at the School of Engineering and Technology, AIT from 2009 to 2010 and the Research Assistant at VUW from 2011 to 2013. From 2014 to 2015, he was the lecturer in Industrial and Systems Engineering at International University, VNU-HCMC, Vietnam.
His
primary research interests include computational intelligence, optimization,
statistical analysis, AI, discrete-event simulation and their applications in
production and operations management. He is currently the Chair of IEEE Task
Force on Evolutionary Scheduling and Combinatorial Optimization.
Dr. Yi Mei, Victoria University of
Wellington, New Zealand
Yi
Mei is the lecturer in computer science at Victoria University of Wellington,
New Zealand and has been working on optimisation for
nearly ten years. In particular, his expertise is in solving scheduling and
routing optimisation problems, such as arc routing
problems, warehouse optimisation and travelling thief
problem, with computational intelligence. His major contributions include the
design of efficient problem-specific strategies to jump out of local optima, handle
constraints, divide and conquer large scale problems, balance the optimisation of multiple objectives, and deal with
interacting modules. Being an early-career researcher who received his Ph.D.
degree in 2010, Dr. Mei has built a strong track record, including a number of
top-notch publications in IEEE Transactions on Evolutionary Computation and
IEEE Transactions on Systems, Man, and Cybernetics: Part B, as well as various
research grants and awards. As the sole investigator, he won the 2nd prize of
the Competition at IEEE World Congress on Computational Intelligence 2014: Optimisation of Problems with Multiple Interdependent
Components. Dr. Mei was the recipient of the 2010 Chinese Academy of Sciences
DeanÕs Award (top 200 postgraduates all over China) and the 2009 IEEE
Computational Intelligence Society (CIS) Postgraduate Summer Research Grant
(three to four recipients all over the world). He was ranked top 10% of the
unsuccessful applications (near-miss) in ARC DECRA rounds 2014 and 2015. Dr.
Mei serves as the committee member of IEEE ECTC Task Force on Evolutionary
Scheduling and Combinatorial Optimisation and IEEE
CIS Task Force on EC for Feature Selection and Construction.
Dr. Mengjie Zhang, Victoria University of Wellington, New Zealand
Mengjie Zhang is with the Victoria University of
Wellington, Wellington, New Zealand, where he is currently Professor of
Computer Science, Head of the Evolutionary Computation Research Group, and the
Associate Dean (Research and Innovation) in the Faculty of Engineering. His
current research interests include evolutionary computation, particularly
genetic programming, particle swarm optimization, and learning classifier
systems with application areas of image analysis, multiobjective
optimization, classification with unbalanced data, feature selection and
reduction, and job shop scheduling. He has published over 350 academic papers
in refereed international journals and conferences.
Prof.
Zhang has been serving as an Associated Editor or Editorial Board Member for
five international journals (including IEEE Transactions on Evolutionary
Computation, Evolutionary Computation Journal) and as a Reviewer of over 20 international
journals. He has been serving as a Steering Committee Member and a Program
Committee Member for over 80 international conferences. He has supervised over
50 postgraduate research students. He is the Chair of the IEEE CIS Evolutionary
Computation Technical Committee, a member of the IEEE CIS Intelligent Systems
and Applications Technical Committee, a Vice-Chair of the IEEE CIS Task Force
on Evolutionary Computer Vision and Image Processing, a Vice-Chair of the IEEE
CIS Task Force on Evolutionary
Computation for Feature Selection and Construction, a member of IEEE CIS Task
Force of Hyper-heuristics, and the Founding Chair for IEEE Computational
Intelligence Chapter in New Zealand.