This repository contains the testbench for quantization-based optimization (QTZ). We provide three testbench codes:
- ml_test_anonymopus: Testbench for QTZ applied to machine learning tasks.
- nlp_test_anonymopus: Testbench for QTZ applied to continuous nonlinear optimization problems.
- tsp_test_anonymopus: Testbench for QTZ applied to the traveling salesman problem (TSP) and low-dimensional optimization tasks.
Each folder includes a "README.md" file describing the usage and details of the corresponding code.
URL: https://github.com/SDE-AI-00/Quantization-based-Optimization/tree/main
Last Updated @16-Jun-2025