dwave-tabu 0.3.0

Optimized Tabu solver for QUBOs

dwave-tabu

An implementation of the MST2 multistart tabu search algorithm for quadratic unconstrained binary optimization (QUBO) problems with a dimod Python wrapper.

Installation or Building

Install from a wheel on PyPI:

pip install dwave-tabu

Alternatively, you can build the library with setuptools. This build requires that your system has a C++ compiler toolchain installed, as well as SWIG.

pip install -r requirements.txt
python setup.py build_ext --inplace
python setup.py install

Example

This example solves a two-variable Ising model.

>>> from tabu import TabuSampler
>>> response = TabuSampler().sample_ising({'a': -0.5, 'b': 1.0}, {('a', 'b'): -1})