Pareto-based Island Model presented at GECCO 2013

Yesterday I presented my work Migration Study on a Pareto-based Island Model for MOACOs, accepted as full-paper at the Genetic and Evolutionary Computation Conference 2013, held in Amsterdam.

The paper abstract is:

Pareto-based island model is a multi-colony distribution scheme recently presented for the resolution, by means of ant colony optimization algorithms, of bi-criteria problems. It yielded very promising results, but the model was implemented considering a unique Pareto-front-shaped unidirectional neighborhood migration topology, and a constant migration rate.
In the present work two additional neighborhood topology schemes, and four different migration rates have been tested, considering the algorithm which obtained the best results in average in the model presentation article: MOACS (Multi-Objective Ant Colony System).
Several experiments have been conducted, including statistical tests for better support the study.
High values for the migration rate and the use of a bidirectional neighborhood migration topology yields the best results.

It is the next step in the research previously published in Soft Computing Journal and commented here.

The presentation is this:

Enjoy it! :D

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Evolutionary Algorithms in Heterogeneous Nodes

Today I presented a brief talk about some papers about the usage of heterogeneous computers for distributed EAs:

All these ideas (and new ones) are being applied in our Service Oriented Architecture for Evolutionary Algorithms, we hope to show interesting results soon!

Here is the presentation (in Spanish).