Global Pattern Search for alpha-level Optimisation

The Global Pattern Search for alpha-level Optimisation (aGPS) is a global optimisation approach explicitly designed for efficient alpha-level optimisations. It can be used to improve the efficiency of fuzzy structural analyses. The efficiency of aGPS stems from its deterministic sample generation, which allows a reuse of many samples within the various alpha-level optimisations. Moreover, information gained within an alpha-level optimisation is used for all subsequent optimisations. It outperforms state-of-the-art algorithms. This means that it requires less model evaluations, and therefore, it has lower computing times. Here, the entire source code for its implementation in MATLAB is given. For further information, it is referred to "Huebler, C., & Hofmeister, R. (2021). Efficient alpha-level optimisation for fuzzy structural analyses. Submitted to Computer & Structures."

Data and Resources

Cite this as

Clemens Hübler, Benedikt Hofmeister (2020). Dataset: Global Pattern Search for alpha-level Optimisation. https://doi.org/10.25835/0043276

DOI retrieved: 23:36 19 Jan 2021 (GMT)

Additional Info

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Author Clemens Hübler, Benedikt Hofmeister
Maintainer Clemens Hübler
Last Updated December 8, 2020, 11:41 (CET)
Created November 12, 2020, 10:01 (CET)
License Creative Commons Attribution Share-Alike 3.0