Configuring the Optimization Techniques

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 DOE Technique
• 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