Localized probability of improvement for kriging based multi-objective optimization
Autor: | Li Yinjiang, Xiao Song, Barba Paolo Di, Rotaru Mihai, Sykulski Jan K. |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: | |
Zdroj: | Open Physics, Vol 15, Iss 1, Pp 954-958 (2017) |
Druh dokumentu: | article |
ISSN: | 2391-5471 |
DOI: | 10.1515/phys-2017-0117 |
Popis: | The paper introduces a new approach to kriging based multi-objective optimization by utilizing a local probability of improvement as the infill sampling criterion and the nearest neighbor check to ensure diversification and uniform distribution of Pareto fronts. The proposed method is computationally fast and linearly scalable to higher dimensions. |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |
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