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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