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.Options User functionevaluation Evaluate objective and constraintfunctions in parallel.Options Complete poll onsurrogateoptoptions =optimoptions('surrogateopt','UseParallel',true);Beginning in R2019a, when you set the 'UseParallel' option to true, patternsearch internally overrides the 'UseCompletePoll' setting to true so it polls in parallel.When you run an applicable solver with options,applicable solvers automatically use parallel computing.To stop computing optimizations in parallel, set UseParallel to false,or set the Optimization app not to compute in parallel. To halt allparallel computation, enter. For more information about search functions, see.
Parallel Hybrid Functionsga, particleswarm,and simulannealbnd can have other solvers runafter or interspersed with their iterations. These other solvers arecalled hybrid functions.
For information on using a hybrid functionwith gamultiobj, see. Both patternsearch and fmincon canbe hybrid functions. You can set options so that patternsearch runsin parallel, or fmincon estimates gradients inparallel.Set the options for the hybrid function as described in for ga, for particleswarm,or for simulannealbnd.To summarize. For more information on parallel fmincon,see (Optimization Toolbox).Deploy Parallel OptimizationIf you deploy code that calls an optimization solver, and want the solver to use parallel computing, ensure that you explicitly create a parallel pool in your code.
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Otherwise, the deployed code can fail to run in parallel, and so run only in serial, because MATLABCompiler™'s dependency analysis can fail to make parallel functionality available. For example, call explicitly, in addition to setting the solver's UseParallel option to true. Testing Parallel OptimizationTo test see if a problem runs correctly in parallel.Try your problem without parallel computation to ensure that it runs properly serially. Make sure this is successful (gives correct results) before going to the next test.Set UseParallel to true, and ensure that there is no parallel pool using delete(gcp). Uncheck Automatically create a parallel pool in Home Parallel Parallel Preferences so MATLAB does not create a parallel pool.
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Your problem runs parfor serially, with loop iterations in reverse order from a for loop. Make sure this is successful (gives correct results) before going to the next test.Set UseParallel to true, and create a parallel pool using parpool. Unless you have a multicore processor or a network set up, you won't see any speedup. This testing is simply to verify the correctness of the computations.Remember to call your solver using an options argument to test or use parallelfunctionality. Related Topics.