A MultiStart object contains properties (options) that affect how run repeatedly runs a local solver to generate a GlobalOptimSolution object. When run, the solver attempts to find multiple local …

MultiStart can run in parallel, distributing start points to multiple processors for local solution. To run MultiStart in parallel, see How to Use Parallel Processing in Global Optimization Toolbox.

Describes how to obtain multiple solutions from GlobalSearch and MultiStart, and how to change the definition of distinct solutions. GlobalSearch and MultiStart Properties (Options)

Shows how to use MultiStart to help find a global minimum to a least-squares problem.

This example shows how to fit a function to data using lsqnonlin together with MultiStart in the problem-based approach. Many fitting problems have multiple local solutions.

MultiStart generates k - 1 start points using the same algorithm as for a RandomStartPointSet object. MultiStart also uses the x0 point from the problem structure.

MultiStart generates random start points using the dimension of the problem and bounds from the problem structure. MultiStart generates k - 1 random start points, and also uses the x0 start …

For an example using a plot function, see MultiStart Plot Function. If you specify more than one plot function, all plots appear as subplots in the same window.

If you have a multicore processor or access to a processor network, you can use Parallel Computing Toolbox™ functions with MultiStart. This example shows how to find multiple …

Specify Start Points for MultiStart, Problem-Based When solving a problem using MultiStart in the problem-based approach, you can specify the start points using one or both of these techniques: