'Optimisation algorithm, constraints and score calculation configurations with Optapy
I am using the Optapy library in python, and I am using the school timetabling instance on GitHub as a base. I have few questions regarding the library configurations:
- How do I choose the optimisation algorithm (e.g. tabu search or simulated annealing)?
- How do Optapy calculate the score of a solution? Do I have the option to change the score calculation type in python?
- How can I decide the weights for each constraint, except hard or soft constraint?
I was looking at OptaPlanner User Guide, but I am not sure how to implement it on python.
Guidance appreciated.
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