A hybrid of Bayesian-based global search with Hooke–Jeeves local refinement for multi-objective optimization problems
The proposed multi-objective optimization algorithm hybridizes random global search with a local refinement algorithm. The global search algorithm mimics the Bayesian multi-objective optimization algorithm. The site of current computation of the objective functions by the proposed algorithm is selec...
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| Pubblicato in: | Nonlinear Analysis: Modelling and Control |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Vilniaus Universitetas
2022
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=694173185008 https://www.redalyc.org/journal/6941/694173185008/ https://www.redalyc.org/journal/6941/694173185008/html/ https://www.redalyc.org/journal/6941/694173185008/694173185008.epub https://www.redalyc.org/journal/6941/694173185008/movil https://doi.org/10.15388/namc.2022.27.26558 |
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