You can configure some of the Optimization technique options.
You can map many of the various technique options to parameters so that they are dynamically driven at run time. For more information, see Mapping Options and Attributes to Parameters.
Configuring the Adaptive Simulated Annealing (ASA) Technique Configuring the Archive-Based Micro Genetic Algorithm (AMGA) Technique Configuring the Downhill Simplex Technique Configuring the Evolutionary Optimization (EVOL) Algorithm Configuring the Hooke-Jeeves Technique Configuring the Large Scale Generalized Reduced Gradient (LSGRG) Technique Configuring the Mixed-Integer Sequential Quadratic Programming (MISQP) Technique Configuring the Modified Method of Feasible Directions (MMFD) Technique Configuring the Multifunction Optimization System Tool (MOST) Technique Configuring the Multi-Island Genetic Algorithm Technique Configuring the Multi-Objective Particle Swarm Technique Configuring the Neighborhood Cultivation Genetic Algorithm (NCGA) Technique Configuring the Non-Dominated Sorting Genetic Algorithm (NSGA-II) Technique Configuring the Pointer Automatic Optimizer Technique Configuring the Sequential Quadratic Programming (NLPQLP) Technique Configuring the Stress Ratio Technique