Publication detail

COMPARISON OF GENETIC ALGORITHM AND GRAPH-BASED ALGORITHM FOR THE TSP

ČÍŽEK, L. ŠŤASTNÝ, J.

Original Title

COMPARISON OF GENETIC ALGORITHM AND GRAPH-BASED ALGORITHM FOR THE TSP

Type

conference paper

Language

English

Original Abstract

This paper deals with the comparison of algorithms for Traveling Salesman Problem (TSP). Many different algorithms for optimization of logistic problems exist and the one of most known is Genetic algorithm. In this article we take look at Generalized Lifelong Planning A* algorithm, which is usually used for path planning problems, and we try to modify it so it can be used for other types of optimization as well. Then we test this modified algorithm and genetic algorithm on several Traveling Salesman Problems. The results of these tests are then compared according to time of optimization and distance of traveled path.

Keywords

Genetic algorithm, Graph-based algorithm, Traveling Salesman Problem, GLPA*, NP-Hard problem, logistics optimization, path planning problem.

Authors

ČÍŽEK, L.; ŠŤASTNÝ, J.

RIV year

2013

Released

26. 6. 2013

ISBN

978-80-214-4755-4

Book

MENDEL 2013

Pages from

433

Pages to

438

Pages count

6

BibTex

@inproceedings{BUT101084,
  author="Lubomír {Čížek} and Jiří {Šťastný}",
  title="COMPARISON OF GENETIC ALGORITHM AND GRAPH-BASED ALGORITHM FOR THE TSP",
  booktitle="MENDEL 2013",
  year="2013",
  pages="433--438",
  isbn="978-80-214-4755-4"
}