I'm looking for a solution approach for my MIP model, but I couldn't find any specific books about this issue whose solution approach is suitable for my model. There are a lot of exact, heuristic or hybrid approaches. Besides, there are a lot of acceleration techniques that can reduce the solution time and I don't know which of them is appropriate for mine. Could anyone help me on what should I do?
I guess that depends on the application and the constraints and expectations that the end users have.
For example, do users work with the model interactively, trying different parameter choices and then look at the results immediately? This would mean that the solution time should be in seconds or few minutes. But if it's a planning problem that can be run over night, you can invest hours into the solving time.
Is an optimal solution (or bounds) required? Then a model-based approach would be required, otherwise a heuristic might be better.
Did you try solving the model with a MIP solver? If it's fast enough, then I'd recommend sticking with that, because it's often easier to modify a model with new requirements, compared to changing a handcrafted heuristic algorithm.