| 123456789101112131415161718192021222324252627282930313233343536373839404142434445 |
- 4. Validate a solution
- ======================
- When an optimization problem requires respecting certain constraints, Macop allows you to quickly verify that a solution is valid.
- It is based on a defined function taking a solution as input and returning the validity criterion (true or false).
- 4.1. Validator definition
- ~~~~~~~~~~~~~~~~~~~~~~~~~
- An invalid solution can be shown below where the sum of the object weights is greater than 15:
- .. image:: ../_static/documentation/project_knapsack_invalid.png
- :width: 800 px
- :align: center
- .. code-block::
- Hence, ``[1, 0, 1, 0, 0]`` is an invalid solution.
- .. code-block:: python
- """
- Problem instance definition
- """
- elements_score = [ 4, 2, 10, 1, 2 ] # value of each object
- elements_weight = [ 12, 1, 4, 1, 2 ] # weight of each object
- """
- validator function definition
- """
- def validator(solution):
- weight_sum = 0
- for i, w in enumerate(elements_weight):
- weight_sum += w * solution._data[i]
-
- return weight_sum <= 15
- 4.2. Use of validator
- ~~~~~~~~~~~~~~~~~~~~~
|
