CFP: IEEE CEC 2019 Special Session on Evolutionary Computation for Multi-Agent Systems

Multi-agent systems (MAS) are computerized systems composing of multiple interacting and autonomous agents within a common environment of interest for problem-solving. The development of intelligent agents that are capable of adapting to the complex or dynamic environment has attracted increasing attentions over the past decades. In computational intelligence, evolutionary computation (EC), in particular, has been shown to provide a reliable and flexible contender over traditional mathematical approaches for solving complex optimization problems, especially if near global optimum solutions are sought. According to the recent studies, EC based techniques, including evolutionary algorithms, swarm intelligence, evolutionary reinforcement and transfer learning, are already starting to show up in developing more significant intelligence among multiple agents in MAS. Particularly, the intrinsic parallelism of natural evolution and the errors which are introduced due to the physiological limits of the agents’ ability to perceive differences, could generate the “growth” and “variation” of knowledge that agents have of the world, thus exhibiting high adaptivity capabilities on solving complex and non-trivial problems.

Taking this cue, the present special session aims at bringing together researchers from both academia and industry to explore the recent developments, future directions and the potential challenges in this field. The topics of this special session include but are not limited to the following topics:

• EC based mission planning for multi-agent systems
• EC based task allocation for multi-agent systems
• Co-evolution and the evolution of collaborative behavior of multiple agents
• Evolutionary reinforcement learning for multi-agent systems
• Evolutionary transfer learning for multi-agent systems
• Evolution of neural controllers for self-organized mobile robots
• Discovery of emergency of swarm agents
• Swarm intelligence (such as PSO, ACO, etc.) inspired multi-agent systems
• Memetic automaton and meme-centric multi-agent system
• EC based human–machine interaction for multi-agent systems
• Real-world applications of EC based multi-agent systems, e.g. mobile robots (unmanned ground robots, unmanned surface/underwater vehicles, aerial robots, space exploration), search and rescue, virtual game and industrial.

Organizers

Xingguang Peng

School of Marine Science and Technology
Northwestern Polytechnical University
127 Youyi West Rd. Xi’an, Shaanxi Province, P. R. China
pxg@nwpu.edu.cn, xgpeng.nwpu@gmail.com

Yaqing Hou

School of Computer Science and Engineering,
Dalian University of Technology
No.2 Linggong Road, Liaoning Province, P.R.C., 116024
houyq@dlut.edu.cn

Yew-Soon Ong

School of Computer Science and Engineering,
Nanyang Technological University
N4-02a-20, Nanyang Avenue, Singapore 639798
ASYSOng@ntu.edu.sg

Paper Submission

The papers should be submitted through IEEE CEC’s submission central. After logging into the submission system, you need to choose Special Session on “Evolutionary Computation for Multi-Agent Systems”.

Important Dates

• Paper submission due: Jan. 7, 2019
• Notification of acceptance: Mar. 7, 2019
• Author registration deadline: Mar. 31, 2019
• Camera-ready deadline: Mar. 31, 2019

Information about IEEE CEC 2019: http://cec2019.org/#
We look forward to receiving your high-quality submissions.