Set Membership Global Optimization

버전 0.932.1.0 (2.99 MB) 작성자: Lorenzo Sabug, Jr.
A new global optimization package based on a Set Membership framework.
0.0
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다운로드 수: 175
업데이트 날짜: 2023/12/8
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A MATLAB package implementing the Set Membership Global Optimization (SMGO) algorithm.

인용 양식

BibTeX entry: @article{Sabug2022, author = {Sabug, Lorenzo and Ruiz, Fredy and Fagiano, Lorenzo}, doi = {10.1016/j.ins.2022.05.017} journal = {Information Sciences}, pages = {15--42}, publisher = {Elsevier Inc.}, title = {{SMGO-$\Delta$: Balancing Caution and Reward in Global Optimization with Black-Box Constraints}}, volume = {605}, year = {2022} }

MATLAB 릴리스 호환 정보
개발 환경: R2022a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
태그 태그 추가

doc/examples/contextual

doc/examples/iterative

doc/examples/test_functions

doc/examples/time_varying

util

doc

doc/examples/basic

doc/examples/constraints

doc/examples/network

doc/examples/time_varying

버전 게시됨 릴리스 정보
0.932.1.0

See release notes for this release on GitHub: https://github.com/polimi-saslab/smgo-toolbox/releases/tag/0.932.1
0.932.0.1

See release notes for this release on GitHub: https://github.com/polimi-saslab/smgo-toolbox/releases/tag/0.932.0.1
0.932.0.0

See release notes for this release on GitHub: https://github.com/polimi-saslab/smgo-toolbox/releases/tag/0.932
0.931

See release notes for this release on GitHub: https://github.com/polimi-saslab/smgo-toolbox/releases/tag/0.931
0.930

changed convention regarding black-box constraints; bug-fixing to exploitation in cases with linear inequalities
0.920

Minor fix on if-statement for using inequalities
0.919

Minor edits on gracefully exiting after errors.
0.918

More bugfixes
0.917

Minor bugfix
0.916

Finalized implementation of linear inequalities, and added corresponding example code.
0.915

Fixed errors arising from Sobol generation without Statistics Toolbox.
0.914

Added time-varying demo, some code corrections
0.913

Corrections/cleanup to documentation
0.912

added documentation and 'getting started' guide.
0.900

Added functionality for contextual optimization.
Some cleanup of code and more inline comments.
0.711

Minor changes in citation notes
0.71

[Still a work in progress] Improved documentation on examples
0.7

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