simulated
Creates and configures a simulated annealing optimization algorithm for a given problem definition.
Return
An instance of SimulatedAnnealing that encapsulates the optimization process and results.
Parameters
The definition of the optimization problem, including constraints and objectives.
The model builder interface used to create models for evaluation.
Optional initial solution to start the optimization. Defaults to the starting point provided by the problem definition.
The initial temperature for the annealing process. Determines the likelihood of accepting worse solutions at the start of the process. Defaults to 1000.0.
The maximum number of iterations the algorithm will run. Defaults to 100.
The number of replications to use during each evaluation to reduce stochastic noise. Defaults to 50.
Optional callback function to print or handle intermediate solutions. Can be used to observe the optimization process.