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 sele...
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2022-03-01
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| Series: | Nonlinear Analysis |
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| Online Access: | https://www.journals.vu.lt/nonlinear-analysis/article/view/26558 |