Modelamiento y optimización en redes de comunicaciones

Course Name: Modeling and optimization in communication networks

Addressed to: Master Of Telecommunications Engineering

University of Antioquia

Tarea 1 (Para 21 Febrero) --> Enlace, Artículo

Material:

Lesson 1: Course contents and Introduction to graph theory

Lesson 2: Networks problems solved using graph theory

Lesson 2-1: QoS Routing

Lesson 3: Linear Programming, An Introduction

Lesson 4: Formulation of Linear Programming Problems

Lesson 5: Introduction to traffic and demand in communication networks

Lesson 6: Network Design, Notation, Formulation and Illustrations (I)

Lesson 7: Network Design, Notation, Formulation and Illustrations (II)

Lesson 8: Formulation of Common Network Design Problems

Lesson 9: Application of Network Modeling to Specific problems

Lesson 10-11: Modeling Resilient Networks (I)

Lesson 11-12: Modeling Resilient Networks (II)

Lesson 13: Exact algorithms to solve linear programs

Lesson 14: Growth of Functions

Lesson 15: NP-Completeness (I)

Lesson 16: NP-Completeness (II)

Lesson 17: NP-Completeness (III)

Lesson 18: NP-Completeness (IV)

Lesson 19: Approximation algorithms (I)

Lesson 20: Approximation algorithms (II)

Lesson 21: Approximation algorithms (III) and Metaheuristics

Lesson 22: Introduction to Metaheuristics (Single-Solution)

Lesson 23: Local Search and Simulated Annealing

Lesson 24: An Introduction Population-Solution Metaheuristics and Ant Colony Algorithms

Lesson 25: Population-based Metaheuristics: Particle Swarm Optimization

Research Activities:

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