Date: 02/27/09

Speaker: G. Tokic

Title: Genetic Algorithms and Multi-Objective Optimization

Abstract:
Genetic Algorithms provide a different framework to the problem of optimization. During
the last decade or so the field has matured and is able to tackle some of the most
complicated optimization problems,  mostly inaccessible by “classical” gradient-based
methods. 
In this talk, we give an overview of Genetic Algorithms (GA) with  emphasis on their use
in multi-objecitve problems, by contrasting them to gradient-based optimization methods.
An introduction to fundamental  genetic operators is given. The basic concepts of
multi-objective optimization problem are laid out and the applicability of GAs to 
multi-objective problems is explained. Finally, some examples of application of Genetic
Algorithms to multi-objective problems are shown.