COM6: Advances on Evolutionary Multiobjective Optimization

label Diverse autorenew 2025-09-29, 17:01 history_edu Diana Ignat
Multi-objective optimization handles multiple conflicting objectives simultaneously and is of tremendous importance in practice. These problems give rise to a set of trade-off optimal solutions (called Pareto-optimal solutions) and are targets of any optimization method. One of the ways to solve these problems is to scalarize multiple objectives into a single paramterized objective and solve repeatedly for different parameter values to find a single optimal solution one at a time. Evolutionary optimization methods work with a population of solutions in each iteration and therefore becomes ideal candidates for finding multiple trade-off solutions in a single simulation run. Research and application in Evolutionary multi-objective optimization (EMO) started in the beginning of Nineties and is now one of the most popular field in the area of evolutionary computation and optimization. In this course, we shall briefly introduce evolutionary optimization methods for single-objective handling and then provide fundamental principles of EMO. Thereafter, we shall present a few key EMO algorithms and then discuss recent advances in research and application in the area of EMO. Examples from practice will be presented to illustrate the concepts.

Period
06-08-2014 - 08-08-2014 (1 weeks)

Target group
The Summer School annually offers courses for advanced masters students, graduate students and post-docs in the various fields of science and information technology.

Course aim
The most important aims of the Summer School are to develop post-graduates scientific readiness and to offer students the possibility to study in a modern, scientific environment and to create connections to the international science community.



Credits
2.0 ECTS credits

Course fee
EUR 0[Convert to USD]Participating the Summer School is free of charge, but student have to cover the costs of own travel, accommodation and meals at Jyvskyl.

Course leader
Coordinator: Dr. Karthik Sindhya (University of Jyvskyl, Finland)Lecturer: Prof. Kalyanmoy Deb (Michigan State University, USA)

Scholarships
The 24th Jyvskyl Summer School is not able to grant any Summer School students financial support. In order to ensure your participation, we recommend that you take steps to secure your own funding, for example, by turning first to your home institution

University of Jyvaskyla Faculty of Mathematics and Science and Faculty of Information Technology
Address: Jyvaskyla Summer School, Faculty of Mathematics and Science P.O.Box 35 (YK312), FIN-40014 University of Jyvaskyla, Finland
Postal code: FIN-40014
City: Jyvaskyla
Country: Finland
Website: http://www.jyu.fi/summerschool
E-mail: jss@jyu.fi
Phone: +358505818351