About the Optimization Techniques

This section provides an overview of the available optimization techniques to help you decide which technique to use when defining a technique for optimization.


In this section:

Adaptive Simulated Annealing Technique
Archive-Based Micro Genetic Technique
Downhill Simplex Technique
Evolutionary Optimization Algorithm (Evol)
Hooke-Jeeves Direct Search Method Technique
Large Scale Generalized Reduced Gradient (LSGRG) 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)
Non-dominated Sorting Genetic Algorithm (NSGA-II)
Pointer Technique
Sequential Quadratic Programming (NLPQL) Technique
Stress Ratio Technique
Optimization References