Cutting-Stock-Problem-Simulated-Annealing

Solving the Cutting Stock Problem via implementing Simulated Annealing.

Usage

Just define your function and call Problem class with your parametrs, and then train it.

solve = Problem(T = 1
            , coolingRate = 0.9
            , stockLength = stockLength
            , markovLength = 3
            , orders = req
            , stopCriterion = 1000)
rolls, ans = solve.train()

Contributing

Pull requests are welcome.

License

MIT