# Use heuristics¶

The linear programming approach is guaranteed to give an optimal solution, however this can be quite expensive computationally. It is possible to use a heuristic approach that probabilistically searches through the solution space.

Here is how to do this with a hill climbing algorithm:

>>> import conference_scheduler.heuristics as heu
>>> heuristic = heu.hill_climber
>>> scheduler.heuristic(events=events, slots=slots, algorithm=heuristic)


A simulated annealing algorithm is also implemented:

>>> heuristic = heu.simulated_annealing
>>> scheduler.heuristic(events=events, slots=slots, algorithm=heuristic)