Surrogate-based global optimization using an adaptive switching infill sampling criterion for expensive black-box functions-Reference-Cited by-同舟云学术

Surrogate-based global optimization using an adaptive switching infill sampling criterion for expensive black-box functions

Published:2018-02-20 Issue:4 Volume:57 Page:1443-1459
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Chung In-Bum,Park Dohyun,Choi Dong-Hoon

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

http://link.springer.com/article/10.1007/s00158-018-1942-2/fulltext.html

Reference31 articles.

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3. Dong H, Song B, Dong Z, Wang P (2016) Multi-start space reduction (MSSR) surrogate-based global optimization method. Struct Multidisc Optim 54:907–926

4. Evers G (2016) Particle swarm optimization research toolbox (Version 20160308), M.S. thesis code. http://www.georgeevers.org/pso_research_toolbox.htm

5. Garg H (2014) Solving structural engineering design optimization problems using an artificial bee colony algorithm. J Ind Manag Optim 10(3):777–794

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