Pregled bibliografske jedinice broj: 225767
Using Data Mining to Forecast Uncertain Demands in Stochastic Vehicle Routing Problem
Using Data Mining to Forecast Uncertain Demands in Stochastic Vehicle Routing Problem // Zbornik referatov = Proceedings ISEP 2005 / Boštjan, Hernavs ; Anžek, Mario ; Janša, Srečko (ur.).
Ljubljana: Elektrotehniška zveza Slovenije, 2005. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 225767 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using Data Mining to Forecast Uncertain Demands in Stochastic Vehicle Routing Problem
Autori
Marković, Hrvoje ; Ćavar, Ivana ; Carić, Tonči
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Zbornik referatov = Proceedings ISEP 2005
/ Boštjan, Hernavs ; Anžek, Mario ; Janša, Srečko - Ljubljana : Elektrotehniška zveza Slovenije, 2005
ISBN
961-6187-34-1
Skup
13th International Symposium on Electronics in Traffic
Mjesto i datum
Ljubljana, Slovenija, 25.05.2005. - 26.05.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
VRP; VRPSD; data warehouse; data mining
Sažetak
In the field of vehicle routing, relatively limited attention has been paid to the topics such as stochastic demand. With the data warehouse infrastructure and data mining tools it is possible to predict such variable constraints. This could enable more efficient route construction and as consequence the number of non accomplished routes could be reduced. The paper proposes database infrastructure, data mining module and VRP solver for prediction of uncertain demand. Proposed VRP solver uses constructive, heuristic and metaheuristic algorithms to solve a problem with demanded data.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb
