IEEE Congress on Evolutionary Computation (IEEE CEC2016)
Special Session: “Evolutionary Scheduling and Combinatorial Optimization”
Overview
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.
Scope and Topics
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
•Timetabling
•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
Submission
Please follow the IEEE CEC2016 instruction for authors and submit your paper via the IEEE CEC 2016 online submission system. Please specify that your paper is for the Special Session on Evolutionary Scheduling and Combinatorial Optimization.
Important Dates
•Paper Submission Deadline: 15 Jan 2016
•Notification of Acceptance: 15 Mar 2016
•Final Paper Submission Deadline: 15 Apr 2016
Special Session Organizers
Dr. Su Nguyen, Victoria University of Wellington, New Zealand/Hoa Sen University, Vietnam (su.nguyen@ecs.vuw.ac.nz)
Dr. Yi Mei, Victoria University of Wellington, New Zealand (yi.mei@ecs.vuw.ac.nz)
Dr. Mengjie Zhang, Victoria University of Wellington, New Zealand (Mengjie.Zhang@ecs.vuw.ac.nz)