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A package implementing modelling to generate alternatives (MGA) to find near optimal alternatives to the optimal solution.

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TulipaEnergy/NearOptimalAlternatives.jl

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NearOptimalAlternatives

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This package generates near optimal alternative solutions to a solved optimization problem. The alternative solutions are within a maximum specified percentage of the optimum. Alternatives can either be generated using mathematical optimization or metaheuristics algorithms.

How to Cite

If you use NearOptimalAlternatives.jl in your work, please cite using the reference given in CITATION.cff.

Contributing

If you want to make contributions of any kind, please first that a look into our contributing guide directly on GitHub or the contributing page on the website


Contributors

Germán Morales
Germán Morales

🔬 🤔 🔍 📆
Mathijs de Weerdt
Mathijs de Weerdt
🔍 📆
marnoldus
marnoldus

🔬 💻 🤔
Luuk van de Laar
Luuk van de Laar

🔬 💻 🤔
Greg Neustroev
Greg Neustroev

🔬 💻 👀 🤔
Ni Wang
Ni Wang

🔬 💻 👀 🤔

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A package implementing modelling to generate alternatives (MGA) to find near optimal alternatives to the optimal solution.

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