Speeding Up Design Optimization Using Parallel Computing

When you have the Parallel Computing Toolbox™ software, you can use parallel computing to speed up parameter estimation and response optimization. When you use parallel computing, the software distributes the independent simulations on multiple MATLAB® sessions. Thus, the simulations run in parallel which reduces the optimization time.

Using parallel computing may reduce the optimization time in the following cases:

  • The model contains a large number of parameters to optimize, and the Gradient descent or Nonlinear least squares method is selected.

  • ThePattern search method is selected as the optimization method.

  • The model contains a large number of uncertain parameters and uncertain parameter values.

  • The model is complex and takes a long time to simulate.

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