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.

• Adaptive DOE Technique
• 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
• Python Optimizer Technique
• Sequential Quadratic Programming (NLPQL) Technique
• Stress Ratio Technique
• Optimization References