ePrints.FRI - University of Ljubljana, Faculty of Computer and Information Science

Comparison of different implementations of the travelling sailsman problem

Andraž Gregorčič (2013) Comparison of different implementations of the travelling sailsman problem. EngD thesis.

[img]
Preview
PDF
Download (2241Kb)

    Abstract

    The Traveling Salesman Problem is a well known problem from computer science. We know that the salesman must travel through all the cities, which are represented as vertices in a graph. He must visit each vertex exactly once and return back to his starting point. It is important that his path is as short as possible and of course the cheapest. In graph theory this is called a Hamiltonian cycle. In the Traveling Salesman Problem we are searching for the shortest Hamiltonian cycle. The problem was already encountered in the 19th century. Irish mathematician W. R. Hamilton began working on it and the cycle was later named after him. Today we can say with certainty that this problem is one of most studied problems in optimization. It belongs to the Non-deterministic Polynomial-time hard(NP-hard) class of problems. These are problems for which exact polynomial solutions are not known. This thesis presents a part of graph and algorithm theory. Some exact and approximate algorithms that are used to solve this problem are shown. We encounter concrete situations that require solving the problem. Implementation and working of a program we created are described, as are individual tests that were executed on the program.

    Item Type: Thesis (EngD thesis)
    Keywords: Traveling salesman problem, hamiltonian cycle, algorithm branch & bound, nearest neighbor algorithm, genetic algorithm.
    Number of Pages: 61
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Tomaž Dobravec258Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=10166612)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 2205
    Date Deposited: 24 Sep 2013 10:16
    Last Modified: 03 Oct 2013 13:49
    URI: http://eprints.fri.uni-lj.si/id/eprint/2205

    Actions (login required)

    View Item