Details

Title

Kriging based robust optimisation algorithm for minimax problems in electromagnetics

Journal title

Archives of Electrical Engineering

Yearbook

2016

Volume

vol. 65

Numer

No 4 December

Authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences

Date

2016

Identifier

eISSN: 2300-2506 ; ISSN: 1427-4221

References

Hu (1992), Tabu search method with random moves for globally optimal design vol no pp, Int Methods Eng, 5, 35. ; Alotto (2008), SMES Optimisation Benchmark : TEAM Workshop Problem Graz, Austria, 22. ; Holland (1975), Adaptation in Natural and Artificial Systems : An Introductory Analysis with Applications to Biology Control and Artificial Intelligence Cambridge MA : MIT Press, USA. ; Rehman (2014), van Keulen Efficient Kriging - based robust optimisation of unconstrained problems of Computational Science volume Issue pp, Journal, 872. ; Li (2015), A Dual Kriging Approach with Improved Points Selection Algorithm for Memory Efficient Surrogate Optimisation in Electromagnetics Transactions on Magnetics vol no pp, IEEE, 52, 1. ; Lee (2006), A Robust Optimization Using the Statistics Based on Kriging Metamodel of Mechanical Science and Technology vol no pp, Journal KSME Int, 20, 1169. ; Takahashi (1996), Investigation of simulated annealing method and its application to optimal design of die mold for orientation of magnetic powder vol no pp, IEEE Trans, 3, 32. ; Marzat (2013), Piet Worst - case global optimisation of black - box functions through Kriging and relaxation of Global Optimisation Springer Verlag vol no pp, Journal, 4, 55. ; Kirkpatrick (1983), Optimisation by simulated annealing vol no pp, Science, 220. ; Beyer (2007), Robust optimisation - A comprehensive survey vol pp, Comput Methods Appl, 196. ; Xiao (2015), Six Sigma Quality Approach to Robust Optimisation vol no, IEEE Trans, 51. ; Hajji (2004), A new Tabu search method for optimisation with continuous parameters vol no pp Mar, IEEE Trans, 2, 40.

DOI

10.1515/aee-2016-0059

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