Localized probability of improvement for kriging based multi-objective optimization

Autor: Li Yinjiang, Xiao Song, Barba Paolo Di, Rotaru Mihai, Sykulski Jan K.
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
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