SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems

SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems

10.1007/s10898-016-0407-7

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Bibliographic Details
Main Authors: Krityakierne, T, Akhtar, T, Shoemaker, C.A
Other Authors: NUS ENVIRONMENTAL RESEARCH INSTITUTE
Format: Article
Published: Springer New York LLC 2020
Subjects:
Global optimization
Multiobjective optimization
Parallel processing systems
Radial basis function networks
Tabu search
Black boxes
Computationally expensive
Meta model
Radial basis functions
Response surface
Simulation optimization
Tabu
Optimization
Online Access:https://scholarbank.nus.edu.sg/handle/10635/175245
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/175245

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