CFP: IEEE CEC Special Session on Smart Logistics (Jan 7)

Call for Papers - Special Session on Smart Logistics

The 2019 IEEE Congress on Evolutionary Computation (IEEE CEC2019)

Wellington, New Zealand, 10-13 June 2019

http://cec2019.org/programs/special_sessions.html#cec-44

Important Dates

Submission deadline: 7 January 2019

Notification: 7 March 2019

Final paper submission: 31 March 2019

Please select "CEC-44: Special Session on Smart Logistics" when submitting your paper.

Smart logistics refers to the efficient and effective design, planning and control of the supply chain processes though intelligent technologies, such as software to improve the design of networks, software to automate scheduling, routing, and dispatching, material handling systems, etc. Respectively, the relevant research methods involve clustering, stochastic (dual) dynamic programming, planning and optimization. In recent years, evolutionary computation (EC) techniques have been introduced to the area of logistics. Examples include applying single-objective and multi-objective evolutionary algorithms to facility layout decision problems and vehicle routing problems.

Topics

This special session aims at presenting the latest research on EC applications to logistics. Real-world applications of EC on logistics are highly recommended. The topics include but are not limited to:

• facility (re-)layout decision problems
• routing problems
• emergency logistics
• reverse logistics
• crowd logistics
• freight transportation
• green supply chain
• metropolitan/city logistics
• uncertainty modelling in planning and control
• large-scale evolutionary optimization to logistics
• multi-agent system in logistics
• internet of things on smart logistics.

Organizers

Jialin Liu, liujl(at)sustc.edu.cn

Research Assistant Professor, Dept. of Computer Science and Engineering, Southern University of Science and Technology, China

Yi Mei, yi.mei@ecs.vuw.ac.nz

Lecturer in Computer Science, School of Engineering and Computer Science, Victoria University of Wellington, New Zealand

Shengxiang Yang, syang@dmu.ac.uk

Professor, School of Computer Science and Informatics, De Montfort University, UK