Special Session: Evolutionary Scheduling and Combinatorial Optimization

2017 The IEEE Congress on Evolutionary Computation (CEC)

5-8 June, 2017, Donostia - San Sebastián, 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@ecs.vuw.ac.nz)

 

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@ecs.vuw.ac.nz)

 

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 Dean’s 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@ecs.vuw.ac.nz)

 

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.