About Optimization Techniques and Tuning Parameters

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

• Configuring the Adaptive Simulated Annealing (ASA) Technique
• Configuring the Archive-Based Micro Genetic Algorithm 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 Technique
• Configuring the Non-Dominated Sorting Genetic AlgorithmTechnique
• Configuring the Pointer Automatic Optimizer Technique
• Configuring the Sequential Quadratic Programming (NLPQLP) Technique
• Configuring the Stress Ratio Technique