MOSSLab-MIT/FSNet
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
This helps scientists and engineers quickly find the best solutions for complex problems with strict rules, like optimizing resource allocation or scheduling. You provide the problem definition with its goals and constraints, and it outputs a feasible solution that respects all the rules, much faster than traditional methods. It's designed for anyone who needs reliable, real-time decisions in constrained environments.
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Use this if you need to solve complex optimization problems rapidly and require solutions that strictly adhere to all specified constraints, even in real-time scenarios.
Not ideal if your optimization problems are simple, have very few constraints, or you do not require extremely fast solution times.
Stars
43
Forks
19
Language
Python
License
MIT
Category
Last pushed
Sep 18, 2025
Commits (30d)
0
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