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ČÍŽEK, L. ŠŤASTNÝ, J.
Originální název
COMPARISON OF GENETIC ALGORITHM AND GRAPH-BASED ALGORITHM FOR THE TSP
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Genetic algorithm, Graph-based algorithm, Traveling Salesman Problem, GLPA*, NP-Hard problem, logistics optimization, path planning problem.
Autoři
ČÍŽEK, L.; ŠŤASTNÝ, J.
Rok RIV
2013
Vydáno
26. 6. 2013
ISBN
978-80-214-4755-4
Kniha
MENDEL 2013
Strany od
433
Strany do
438
Strany počet
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" }