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)