Tuesday, 7 August 2018

CFP: CEC 2019 Special Session on "Evolutionary Scheduling and Combinatorial Optimization", (Jan 7)

2019 Congress on Evolutionary Computation (CEC)
10-13 June, 2019, Wellington, New Zealand

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 regarding 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 new challenges, which required
innovated solution methods.

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.
Novel hybrid approaches that combine machine learning and evolutionary computation to
solve difficult ESCO problems are highly encouraged. Examples include using machine
learning to improve surrogate-assisted evolutionary algorithms, and designing
evolutionary algorithms for reinforcement learning and transfer learning.
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:

• Production scheduling
• Timetabling
• Vehicle routing
• Project scheduling
• Airport runway scheduling
• Transport scheduling
• Grid/cloud scheduling
• Evolutionary scheduling with Big Data
• Web service composition
• Wireless networking state location allocation
• Project scheduling
• 2D/3D strip packing
• Space allocation
• Multi-objective scheduling
• Multiple interdependent decisions
• Automated heuristic design
• Innovative applications of evolutionary scheduling and combinatorial optimisation

Submission Guideline:

Please follow the submission guideline from the IEEE CEC 2019 Submission Website.
Special session papers are treated the same as regular conference papers. Please specify
that your paper is for the Special Session on Evolutionary Scheduling and Combinatorial
Optimisation. All papers accepted and presented at CEC2019 will be included in the
conference proceedings published by IEEE Explore, which are typically indexed by EI.

Important Dates:

Paper Submission Deadline: January 7, 2019
Paper Acceptance Notification Date: March 7, 2019
Final Paper Submission & Early Registration Deadline: March 31st, 2019
Conference Date: June 10-13, 2019

Special Session Organizers:

Dr. Su Nguyen, La Trobe University, Australia
(p.nguyen4@latrobe.edu.au)
Dr. Yi Mei, Victoria University of Wellington, New Zealand
(yi.mei@ecs.vuw.ac.nz)
Dr. Gang (Aaron) Chen, Victoria University of Wellington, New Zealand

(aaron.chen@ecs.vuw.ac.nz)

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