SSCI’2015: Special Session on Evolutionary Scheduling and Combinatorial Optimization

2015 IEEE Symposium on Computational Intelligence in Production and Logistics Systems

07-10 December 2015, Cape Town, South Africa

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
– 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

Important Dates:
14 June 2015, deadline for submission of full papers (<=8 pages)
04 September 2015, Notification of acceptance
04 October 2015, Deadline for camera-ready copies of accepted papers
07-10 December 2015, Symposium

Special Session Organizers:
Dr. Su Nguyen, Victoria University of Wellington, New Zealand (
Dr. Mengjie Zhang, Victoria University of Wellington, New Zealand (
Dr. Kay Chen Tan, National University of Singapore, Singapore (