A Joint Opposite Selection (JOS) on opposition optimization

JOS in optimization : A well-match joint of Selective Leading Opposition (SLO) and Dynamic Opposite (DO) for optimization.

https://github.com/FlorentinaJOS/JOS_in_Optimization

Version 1.1.1 (14.4 MB)
990 Downloads
(3)
15 Jan 2022
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Cite As

Florentina Yuni Arini (2026). A Joint Opposite Selection (JOS) on opposition optimization (https://github.com/FlorentinaJOS/JOS_in_Optimization/releases/tag/v1.1.1), GitHub. Retrieved .

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General Information

MATLAB Release Compatibility

  • Compatible with R2018a

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
1.1.1

See release notes for this release on GitHub: https://github.com/FlorentinaJOS/JOS_in_Optimization/releases/tag/v1.1.1
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  • Install in MATLAB

    Requires R2026b and later. Learn more
1.1.0

See release notes for this release on GitHub: https://github.com/FlorentinaJOS/JOS/releases/tag/v1.1.0
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  • Install in MATLAB

    Requires R2026b and later. Learn more
1.0.0

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.