csips
HybridTSPSolver
| csips | HybridTSPSolver | |
|---|---|---|
| 1 | 2 | |
| 1 | 10 | |
| - | - | |
| 0.0 | 10.0 | |
| about 2 years ago | 3 months ago | |
| Python | C | |
| GNU General Public License v3.0 only | MIT License |
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csips
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Ask HN: Do you use an optimization solver? Which one? Why? Do you like it?
I actually just finished implementing an extremely simple Integer Linear Program solver in Python as an educational exercise, wrapping scipy's linprog function to solve the linear relaxation. It has an expression syntax so you don't have to specify the matrix and vectors for the standard form, and it does branch-and-cut on the linear relaxation
https://github.com/cwpearson/csips
HybridTSPSolver
- Feedback on a Hybrid TSP Solver
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Hybrid TSP Solver
Hello everyone, this is my inaugural post in this community, and I'm excited to share with you my master's degree project. It's an hybrid TSP solver that blends the 1Tree branch-and-bound algorithm by Held and Karp with a Graph Convolutional Network. I've made the entire codebase available on this Github repository, along with detailed information of the ideas and the good results obtained. I'm posting this to receive feedback on my work, including your thoughts on potential areas for improvement and whether you believe some of these concepts could also be applied to Concorde.
What are some alternatives?
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exact
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