Pregled bibliografske jedinice broj: 1211793
Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm
Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm // Lecture Notes in Computer Science
Italija; online: Springer, 2022. str. 689-699 doi:10.1007/978-3-031-08421-8_47 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1211793 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Solving the Dial-a-Ride Problem Using an Adapted
Genetic Algorithm
Autori
Zelić, Stjepan ; Đurasević, Marko ; Jakobović, Domagoj ; Planinić, Lucija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Lecture Notes in Computer Science
/ - : Springer, 2022, 689-699
ISBN
978-3-031-08420-1
Skup
20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021)
Mjesto i datum
Italija; online, 01.12.2021. - 03.12.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Genetic algorithm ; Dial a ride problem ; Optimisation
Sažetak
The dial-a-ride problem (DARP) deals with the transportation of people from source to destination locations. One of the most common use cases is in the transportation of elderly or sick people, and as such it represents an important problem to consider. Since DARP is NP-hard, it most often has to be solved using various heuristic methods. Previous studies demonstrated that metaheuristics are suitable for solving this kind of problem. However, in most cases, basic metaheuristics have been considered without any adaptation to the problem, which could potentially limit their performance. Therefore, in this study a GA is proposed and several of its elements adapted for solving DARP. The obtained results show that the proposed algorithm can achieve better results than similar methods from previous studies. Moreover, the experiments demonstrate that the results can be improved by considering some constraints as soft constraints and including them in the cost function to give the algorithm more flexibility in the search.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2019-04-4333 - Hiperheurističko oblikovanje pravila raspoređivanja (HyDDRa) (Jakobović, Domagoj, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb