aryandeshwal/BOPS
Python implementation of Bayesian optimization over permutation spaces.
This project helps optimize the arrangement of components in complex systems, such as placing modules on a computer chip or arranging rooms in a building. It takes in a proposed arrangement (a permutation) and outputs an optimized configuration that improves performance metrics like space utilization or efficiency. Engineers and designers working with physical layouts or system architectures would find this useful.
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Use this if you need to find the best possible ordering or arrangement of elements in a system where evaluating each option is time-consuming or expensive.
Not ideal if your optimization problem does not involve ordering or if you need a solution that doesn't rely on black-box objective functions.
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MATLAB
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Last pushed
Feb 27, 2022
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