About the Optimization Techniques

You can review each available Optimization technique to help you decide which technique to use when configuring optimization.


In this section:

An Overview of the Optimization Techniques
Adaptive DOE Optimization
Adaptive Simulated Annealing Technique
Archive-Based Micro Genetic Technique
Downhill Simplex Technique
Evolutionary Optimization Algorithm (Evol)
Hooke-Jeeves Direct Search Method Technique
Mixed-Integer Sequential Quadratic Programming (MISQP) Technique
Modified Method of Feasible Directions (MMFD) Technique
Multifunction Optimization System Tool (MOST) Technique
Multi-Island Genetic Algorithm
Multi-Objective Particle Swarm Technique
Neighborhood Cultivation Genetic Algorithm (NCGA)
Pointer Techniques
Sequential Quadratic Programming (NLPQL) Technique
Stress Ratio Technique
Optimization References