About Optimization Techniques and Tuning Parameters

This section provides an overview of the optimization techniques and tuning parameters that are required.


In this section:

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