Optimization and Systems Theory Seminar
March 9, at 11.00, room 3721, Lindstedtsvägen 25, KTH:
Karthik Sindhya, Department of Mathematical Information Technology,
University of Jyväskylä, Finland
An introduction to Evolutionary Multi-objective optimization
Abstract. Multi-objective optimization has been studied for over a century.
For the past two decades, a new approach based on the principle
of natural evolution called evolutionary multi-objective optimization
(EMO) is popular and commonly used to solve multi-objective optimization
problems. In EMO, approaches are based on evolutionary algorithms,
where a population of trial solutions is used and evolved using
the principles of natural evolution to obtain a set of solutions as close as
possible to the Pareto optimal solutions. Due to the ability of EMO algorithms
to generate multiple solutions in a single run and their versatility
in handling dierent types of multi-objective optimization problems, they
have attracted a lot of attention in the recent past. In this talk, we shall
discuss the principles of EMO and commonly used EMO algorithms.
Additionally, we shall discuss recent trends in EMO research.
Calendar of seminars
Last update: February 2, 2012.