Pregled bibliografske jedinice broj: 1015969
GRASP Method for Vehicle Routing with Delivery Place Selection
GRASP Method for Vehicle Routing with Delivery Place Selection // International Conference on AI and Mobile Services
San Diego (CA), Sjedinjene Američke Države, 2019. str. 72-83 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1015969 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
GRASP Method for Vehicle Routing with Delivery Place Selection
Autori
Afrić, Petar ; Kurdija, Adrian Satja ; Šikić, Lucija ; Šilić, Marin ; Delač, Goran ; Vladimir, Klemo ; Srbljić, Siniša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
International Conference on AI and Mobile Services
/ - , 2019, 72-83
Skup
8th International Conference Artificial Intelligence and Mobile Services (AIMS 2019)
Mjesto i datum
San Diego (CA), Sjedinjene Američke Države, 25.06.2019. - 30.06.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Greedy randomized adaptive search procedure, Vehicle routing problem, Package delivery
Sažetak
In this paper we present a greedy randomized adaptive search procedure (GRASP) for solving a vehicle routing problem (VRP) for package delivery with delivery place selection. The problem can be solved by stepwise optimization, i.e., first selecting delivery sites and then defining routes based on that selection. Alternatively, it can be solved by jointly optimizing delivery site selection and routing. We investigate the effects of stepwise optimization in comparison to joint optimization. The evaluation results show that our proposed stepwise approach, while expectedly producing longer routes than joint approach (by 4% on average), can provide a solution 1000× faster than the previous benchmark approach. The proposed procedure is therefore well suited for the dynamic environment of package delivery which is widespread in modern cities as a consequence of e- commerce.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-6423 - Pouzdani kompozitni primjenski sustavi zasnovani na web uslugama (RELS) (Srbljić, Siniša, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marin Šilić
(autor)
Goran Delač
(autor)
Adrian Satja Kurdija
(autor)
Lucija Šikić
(autor)
Klemo Vladimir
(autor)
Siniša Srbljić
(autor)
Petar Afrić
(autor)