Note: As the collective photo is too large to be stored in this website, it is uploaded to Baidu Yun, the extraction code is binn . Looking for more extensive version? Download from Google Drive (187M) or Baidu Yun (extraction code b0tr)

Call for Participation

Aim and Target

The main goal of this summer school is to provide senior undergraduate students, M.Sc. or PhD students, scholars, engineers from industry with hands-on knowledge on Multi-Objective Optimization and Decision Making, in addition with substantial examples of typical applications to complex scenarios. This summer school includes theoretical and practical sessions.


Multi-Objective Optimization and Decision Making is a significant, interesting and also very challenging topic in both academic and industrial fields of Computer Science, Management Science, Electrical and Electronic Engineering.


This summer school aims to introduce the elementary concepts and the state of the art techniques of multi-objective optimization and decision making, and also the representative applications of these techniques.


Via this summer school, we will meet multiple targets which include: promoting the research on Multi-Objective Optimization and Decision Making in China; promoting CIS, serving existing CIS members, while attracting new members, attracting industry participants.


Lecturers

We plan to invite leading researchers to give lectures on the summer school, which may include:

* Carlos Artemio Coello Coello, Instituto Polit├ęcnico Nacional, Mexico

* Hisao Ishibuchi, Osaka Prefecture University, Japan

* Michael Emmerich, Leiden University, The Netherland

* Xin Yao, University of Birmingham, UK


Each speaker will give two lectures, one lecture is focused on the introduction and foundations, the other one is focused on the state of the art techniques and applications.


The topics of lectures may include:

* Multi-objective Combinatorial Optimization

* Dynamic Multi-Objective Optimization

* Many-Objective Optimization

* Multi-Objective Particle Swarm Optimization

* Indicator-based Multi-Objective Optimization

* Decomposition-based Multi-Objective Optimization

* Preference-based Multi-Objective Optimization and Decision Making

* Multi-Objective Machine Learning