@misc{Mańdziuk_Jacek_UCT_2016,
 author={Mańdziuk, Jacek and Świechowski, Maciej},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2016},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={In this paper a dynamic version of the Capacitated Vehicle Routing Problem (CVRP) is considered. The proposed solution to CVRP with traffic jams (CVRPwTJ) relies on application of the Upper Confidence Bounds applied to Trees (UCT) method, which is an extension of the Monte Carlo Tree Search algorithm. UCT-based approach is compared with four other methods showing promising results and offering prospects for its wider applicability in the domain of stochastic optimization problems.},
 type={Text},
 title={UCT in Capacitated Vehicle Routing Problem with Traffic Jams},
 URL={http://www.rcin.org.pl/Content/144852/PDF/RB-2016-23.pdf},
 keywords={Stochastic optimization, Vehicle routing problem, Optimization under uncertainty, Optymalizacja stochastyczna, Problem z trasą pojazdu, Optymalizacja w warunkach niepewności},
}