Global Optimization using MATLAB

Global Optimization using MATLAB

Optimization is the process of arriving at the optimum value of an objective function (maximum or minimum) by a means of iterative operations on a set of constraints (called constraint optimization). If there are no constraints, then the objective function has to be optimized for the whole range of the variables, and hence the term Global Optimization.

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Our comprehensive solution offerings encompass the topics as follows:

  • Simulated Annealing
  • Parallel Processing
  • Options Reference
  • Optimization Functions
  • GlobalSearch and MultiStart
  • Genetic Algorithm
  • Direct Search