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Theory of Nonlinear Optimization

Lecture notes

Introduction of Optimization
Line Search Methods
Trust Region Methods
Conjugate Gradient Methods
Quasi-Newton Methods
Least Squares Problems
Quadratic Programming
Augmented Lagrangian Methods
Evolution Algorithms
Subgradient Methods
Mirror Descent and Proximal Methods
Extended Topics

Projects

Final Group Project Presentation

.md

Evolution Algorithms

Contents

Classic Genetic Algorithm
Differential Evolution
Simulated Annealing
Particle Swarm
Exercises

Evolution Algorithms#

Classic Genetic Algorithm#

Differential Evolution#

Simulated Annealing#

Particle Swarm#

Exercises#

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Augmented Lagrangian Methods

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Subgradient Methods

Contents

Classic Genetic Algorithm
Differential Evolution
Simulated Annealing
Particle Swarm
Exercises

By Yimin Zhong

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