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What and Who

Stochastic Optimization with Fitness Proportional Ant Systems

Matthias Feldmann
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1, AG 2, AG 3, AG 4, AG 5, RG1, SWS, MMCI  
AG Audience
English

Date, Time and Location

Friday, 29 June 2012
13:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

[Bachelor Seminar Talk] Different Ant Systems have been shown to be successful on a number of stochastic optimization problems in practice. Recently, different algorithms have been theoretically analyzed for their performance on simple shortest path problems, which lead to interesting insights regarding the optimization goal of these algorithms.


We present a fitness proportional variant of a Max-Min Ant Systems which aims at optimizing the expected path length in a single destination shortest path problem.

Contact

Timo Kötzing
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Timo Kötzing, 06/25/2012 15:00 -- Created document.