CODeM Meeting 16-04-2013

Presenter: Rui Wang

 

Presentation Abstract:

Decomposition based approaches are known to perform well on many-objective problems when a suitable set of weights is provided.  However, providing a suitable set of weights a priori is difficult. This presentation firstly introduces some fundamental concepts of decomposition based approaches. Then, the motivation of using adaptive weights in decomposition based approaches is analyzed. Finally we propose a novel algorithm: preference-inspired co-evolutionary algorithm using weights (PICEA-w), which co-evolves a set of weights with the usual population of candidate solutions during the search process. The co-evolution enables suitable sets of weights to be constructed along the optimization process, thus guiding the candidate solutions toward the Pareto optimal front. Experimental results show PICEA-w performs better than algorithms embedded with random or uniform weights.

If interested in the presentation material, Rui Wang can be contacted at: This email address is being protected from spambots. You need JavaScript enabled to view it.

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