tomitomi3/LibOptimization
LibOptimization is a C# library for numerical optimization, providing a framework of metaheuristic algorithms such as Firefly, Cuckoo Search, and Differential Evolution. It includes a comprehensive suite of benchmark functions and linear algebra primitives to support algorithm testing and verification. The system is designed for .NET environments, offering sample projects and unit tests to demonstrate usage and validate performance.
47.7
Weak · 3 August 2026
440
lines of production code
VB.NET
primary language
1
bus factor · 6 authors in all
3
measurements over time
How it got here
2014 · Library expansion and .NET compatibility
The project significantly expanded its optimization algorithm library by introducing abstract base classes, new metaheuristic implementations, and robust error handling utilities. Concurrently, the codebase was modernized to support .NET 8 and legacy .NET Framework versions, while comprehensive documentation and sample projects were added to improve developer experience.
7 changes
2015–2017 · optimization library expansion and test infrastructure
The project expanded its optimization capabilities by adding a comprehensive suite of benchmark functions and supporting .NET Framework 3.0/3.5 builds. Concurrently, the codebase established robust testing and benchmarking infrastructure, including unit tests for linear algebra and math utilities, alongside a new test harness for algorithm comparison.
6 changes
2018–2022 · Mathematical and optimization library expansion
This period focused on expanding the LibOptimization framework by introducing core linear algebra primitives, including dense matrix and vector classes, alongside specialized decomposition algorithms like SVD and LU. The work also established a standardized test library for .NET 3.0 and 3.5, while adding a foundational optimization template class to support algorithmic development.
6 changes
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About this page
- The description of this project is derived from its own commit history, not from its README.
- The score is its highest published measurement, taken on 3 August 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
- Measured at commit 323fb6144b — the exact code this score is about.
- Scored under rubric rubric-2026.08.18. Score the same commit under that rubric and you get the same number.