2016 The IEEE Congress on Evolutionary Computation (CEC) – WCCI
25-29 July, 2016, Vancouver, Canada
Evolutionary Scheduling and Combinatorial Optimization is an active research area in both Artificial Intelligence and Operations Research due to its applicability and interesting computational aspects. Evolutionary techniques are suitable for these problems since they are highly flexible in terms of handling constraints, dynamic changes and multiple conflicting objectives.
This special session focuses on both theoretical and practical 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.
Topics of interest include, but not limited to:
– Production scheduling
– Vehicle routing
– Transport scheduling
– Grid/cloud scheduling
– Project scheduling
– 2D/3D strip packing
– Space allocation
– Multi-objective scheduling
– Multiple interdependent decisions
– Automated heuristic design
– New real-world and innovative applications
15 January 2016, Deadline for submission of full papers
15 March 2016, Notification of acceptance
15 April 2016, Deadline for camera-ready copies of accepted papers
25-29 July, 2016, Conference dates
Special Session Organizers:
Su Nguyen, School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, New Zealand.
Su Nguyen is the Research Fellow in Evolutionary Computation Research Group (ECRG), Victoria University of Wellington, New Zealand and the 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.
Yi Mei, School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, New Zealand.
Yi Mei is currently the research fellow at Victoria University of Wellington, New Zealand. He 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.
Mengjie Zhang, School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, New Zealand.
Mengjie Zhang is Professor of computer science at Victoria University of Wellington, New Zealand, where he is heading the interdisciplinary Evolutionary Computation Research Group. He has been working in the area of evolutionary computer vision and signal processing for over 10 years. He has over 350 publications in international conferences and journals including over 100 in evolutionary computer vision and has been supervising over 50 research students in this area. He is currently the Chair of IEEE CIS Evolutionary Computation Technical Committee, a member of IEEE CIS Intelligent Systems and Application Technical Committee, an Associate Editor or Editorial Board for six international journals including IEEE Transactions on Evolutionary Computation, the Evolutionary Computation Journal (MIT Press) and Genetic Programming and Evolvable Machines (Springer). He is also 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 Feature Selection and Construction, and the founding Chair of the IEEE Chapter on Computational Intelligence in New Zealand (Central Section).