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Publication detail
HRDINA, J. MATOUŠEK, R.
Original Title
Canadian traveller problem: A note about Game Theory approach
Type
journal article in Scopus
Language
English
Original Abstract
In a variety of real world problems from robot navigation to logistics, agents face the challenge of path optimization on a graph with unknown edge costs. It is known as the Canadian Traveller Problem (CTP). There are many variants of CTP and many path planning approaches to find an optimal solution of the CTP. The aim of the paper is to present the possible way for a solution strategy and possible problem description by means of the Game Theory (GT). The paper presents initial study and theoretical background of the Game Theory approaches to find a proper CTP policy. In this problem the agent known as a traveller needs to go trough the real-life ways implemented by CTP. The presented CTP problem is a base problem with unrecoverable edges. Because the most of the CTP solution strategies are based on heuristic and meta-heuristic algorithms, i.e. on the ground of Artificial Intelligence (AI) approaches, we also present this kind of solution. The GT solution is compared with advance swarm intelligence strategy based on Elitist Ant System (AS).
Keywords
Ant System; Canadian Traveller Problem; CTP; Game Theory; Swarm intelligence
Authors
HRDINA, J.; MATOUŠEK, R.
RIV year
2014
Released
1. 9. 2014
Publisher
Brno University of Technology
Location
Brno
ISBN
1803-3814
Periodical
Mendel Journal series
Year of study
Number
1
State
Czech Republic
Pages from
403
Pages to
406
Pages count
4
BibTex
@article{BUT132900, author="Jaroslav {Hrdina} and Radomil {Matoušek}", title="Canadian traveller problem: A note about Game Theory approach", journal="Mendel Journal series", year="2014", volume="2014", number="1", pages="403--406", issn="1803-3814" }