Genetic Algorithm and Direct Search Toolbox™

Parallel Computing with Simulated Annealing and Threshold Acceptance Algorithms

The simulated annealing and threshold acceptance algorithms do not run in parallel automatically. However, they can call hybrid functions that take advantage of parallel computing. For information on how to set hybrid function options, see Hybrid Function Options.

patternsearch can be used as a hybrid function that uses parallel computation. You must set its options properly in order for it to compute in parallel. For information on the options to set, see Parallel Computing with Pattern Search.

fmincon can be used as a hybrid function that uses parallel computation for estimating derivatives by parallel finite differences. You must set its options properly in order for it to compute in parallel. For information on the options to set, see Parallel Computing for Optimization in the Optimization Toolbox™ User's Guide.

Using the Simulated Annealing and Threshold Acceptance Algorithms from the Command Line

Simulated Annealing and Threshold Acceptance Examples