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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de La Plata
2005
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| Online Access: | https://www.redalyc.org/articulo.oa?id=638067344007 |
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Table of Contents:
- Evolutionary multiobjetive optimization in non-stationary environments Victoria S. Aragón Susana Cecilia Esquivel Carlos Coello Coello Computación This paper proposes an approach, called Multiobjective Algorithm for Dynamic Environments (MADE), which extendes Fonseca and Fleming's MOGA (with an external archive) so that it can deal with dynamic environments. MADE includes two techniques to maintain diversity and also uses specialized functions that implements the dynamism required. In order to validate MADE, we defined a dynamic version of a static test problem (with 3 objectives) previously proposed in the specialized literature. The preliminary results obtained indicate that the proposed approach provides an acceptable response to the type of changes studied. 2005 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067344007 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.03 Vol.5