Detail publikace

Traveling Salesman Problem Optimization by Means of Graph-based Algorithm

ŠŤASTNÝ, J. ŠKORPIL, V. ČÍŽEK, L.

Originální název

Traveling Salesman Problem Optimization by Means of Graph-based Algorithm

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

There are many different algorithms for optimization of logistic and scheduling problems and one of the most known is Genetic algorithm. In this paper we take a deeper look at a draft of new graph-based algorithm for optimization of scheduling problems based on Generalized Lifelong Planning A* algorithm which is usually used for path planning of mobile robots. And then we test it on Traveling Salesman Problem (TSP) against classic implementation of genetic algorithm. The results of these tests are then compared according to the time of finding the best path, its travel distance, an average distance of travel paths found and average time of finding these paths. A comparison of the results shows that the proposed algorithm has very fast convergence rate towards an optimal solution. Thanks to this it reaches not only better solutions than genetic algorithm, but in many instances it also reaches them faster.

Klíčová slova

Genetic algorithm; Graph-based algorithm; Traveling Salesman Problem; GLPA*; NP-Hard problem; logistics optimization; task scheduling

Autoři

ŠŤASTNÝ, J.; ŠKORPIL, V.; ČÍŽEK, L.

Vydáno

27. 6. 2016

Místo

Vienna, Austria

ISBN

978-1-5090-1287-9

Kniha

Proceedings of the 39th International Conference on Telecommunications and Signal Processing (TSP)

Strany od

207

Strany do

210

Strany počet

4

URL

BibTex

@inproceedings{BUT128496,
  author="Jiří {Šťastný} and Vladislav {Škorpil} and Lubomír {Čížek}",
  title="Traveling Salesman Problem Optimization by Means of Graph-based Algorithm",
  booktitle="Proceedings of the 39th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2016",
  pages="207--210",
  address="Vienna, Austria",
  doi="10.1109/TSP.2016.7760861",
  isbn="978-1-5090-1287-9",
  url="https://ieeexplore.ieee.org/document/7760861"
}