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- 7. Operator choices
- ===================
- The ``policy`` feature of **Macop** enables to choose the next operator to apply during the search process of the algorithm based on specific criterion.
- 7.1. Why using policy ?
- ~~~~~~~~~~~~~~~~~~~~~~~
- Sometimes the nature of the problem and its instance can strongly influence the search results when using mutation operators or crossovers.
- Automated operator choice strategies have been developed in the literature, notably based on reinforcement learning.
- .. note::
- An implementation by reinforcement has been developed as an example in the ``macop.policies.reinforcement`` module.
- However, it will not be detailed here. You can refer to the API documentation for more details.
- 7.2. Custom policy
- ~~~~~~~~~~~~~~~~~~
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