CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

# Combinatorial Optimization

The course is not on the list Without time-table
Code Completion Credits Range Language
A4M35KO Z,ZK 6 3P+2C Czech
Vztahy:
The requirement for course A4M35KO can be fulfilled by substitution with the course AE4M35KO.
Garant předmětu:
Lecturer:
Tutor:
Supervisor:
Department of Control Engineering
Synopsis:

The goal is to show the problems and algorithms of combinatorial optimization (often called discrete optimization; there is a strong overlap with the term operations research).

Following the courses on linear algebra, graph theory, and basics of optimization, we show optimization techniques based on graphs, integer linear programming, heuristics, approximation algorithms and state space search methods.

We focus on application of optimization in stores, ground transportation, flight transportation, logistics, planning of human resources, scheduling in production lines, message routing, scheduling in parallel computers.

Requirements:

Optimisation, Discrete mathematics, Logics and graphs

Syllabus of lectures:

1. Introduction to Basic Terms of Combinatorial Optimization, Example Applications and a Test of Preliminary Knowledge

2. Integer Linear Programming - Algorithms

3. Problem Formulation by Integer Linear Programming

4. The Shortest Paths. Problem Formulation by Shortest Paths.

5. Problem Formulation by Shortest Paths.

6. Flows and Cuts - Algorithms and Problem Formulation. Test I.

7. Multicommodity network flows

8. Knapsack Problem and Pseudo-polynomial Algorithms

9. Traveling Salesman Problem and Approximation Algorithms

10. Monoprocessor Scheduling

11. Scheduling on Parallel Processors. Test II.

12. Project Scheduling with Time Windows.

13. Constraint Programming.

14. Reserved

Syllabus of tutorials:

1. Policy and Individual Project Market

2. Introduction to the Experimental Environment and Optimization Library

3. Integer Linear Programming

4. Individual Project I - Assignment and Problem Classification

5. Modeling Languages for Solving Combinatorial Problems

6. Individual Project II - Related Work and Solution

7. Applications of Network Flows and Cuts

8. Individual Project III - Consultation

9. Test III

10. Scheduling

11. Advanced Methods for Solving Combinatorial Problems

12. Individual Project IV - hand in a code and a written report

14. Reserved

Study Objective:
Study materials:

B. H. Korte and J. Vygen, Combinatorial Optimization: Theory and Algorithms.

Springer, third ed., 2006.

J. Blazevicz, Scheduling Computer and Manufacturing Processes. Springer,

second ed., 2001.

J. Demel, Grafy a jejich aplikace. Academia, second ed., 2002.

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/a4m35ko/start
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-05-28
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet12581804.html