Special Sessionㄩ

Evolutionary Many-objective Optimization

 at 2017 IEEE Congress on Evolutionary Computation
Donostia - San Sebasti芍n, Spain
June 5-8, 2017

Organizers: Rui Wang, Shengxiang Yang, Sanaz Mostaghim and Tao Zhang  


Multi-objective optimization problems arise regularly in real-world where multiple objectives are required to be optimized at the same time. Evolutionary multi-objective algorithms are well suited to solve multi-objective optimization problems since their population based nature can generate a set of trade-off solutions in a single run. So far, MOEAs have been demonstrated as effective in addressing MOPs with two and three objectives. However, they tend to face difficulties on addressing MOPs with four or more objectives, the so called many-objective problems.


The difficulties include, for example, the deterioration of convergence, the large number of solutions required to approximate the entire Pareto front, the solutions visualization, performance metrics. This special session focuses on evolutionary many-objective optimization to tackle problems in many-objective optimization including the above mentioned difficulties.


Full papers are invited on recent advances, new horizons in evolutionary many-objective optimization. Also, we are interested in various studies discussing issues related to many-objective optimization, particularly, the real-world problems. You are invited to submit papers that are unpublished original work for this special session. The topics include, but are not limited to:

Paper Submission


Papers should be prepared according to the format and page limit of regular papers specified for CEC 2017. Paper submission should be done through the CEC 2017 website at the following link: http://www.cec2017.org/?utm_source=researchbib

Papers submitted to the special session will be treated in the same way as regular papers and will be included in the conference proceedings.

Paper submission deadline: January 16, 2017

Notification of acceptance: February 26, 2017


Note: recent evolutionary many-objective optimization algorithms (not limited to)


Dr. Rui Wang,  Prof. Tao Zhang

College of Information Systems and Management,

National University of Defense Technology,

Changsha, Hunan, P.R.China

ruiwangnudt@gmail.com ,

Prof. Shengxiang Yang

School of Computer Science and Informatics, De Montfort University, United Kingdom



Prof. Sanaz Mostaghim

Faculty of Computer Science, University of Magdeburg, Germany


Donostia / San Sebasti芍n