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Pregled bibliografske jedinice broj: 1211764

Genetic programming for electric vehicle routing problem with soft time windows


Gil Gala, Francisco Javier; Marko Đurasević; Domagoj Jakobović
Genetic programming for electric vehicle routing problem with soft time windows // GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Boston (MA), Sjedinjene Američke Države, 2022. str. 542-545 doi:10.1145/3520304.3528994 (poster, međunarodna recenzija, sažetak, znanstveni)


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Naslov
Genetic programming for electric vehicle routing problem with soft time windows

Autori
Gil Gala, Francisco Javier ; Marko Đurasević ; Domagoj Jakobović

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion / - , 2022, 542-545

Skup
Genetic and Evolutionary Computation Conference

Mjesto i datum
Boston (MA), Sjedinjene Američke Države, 09.07.2022. - 13.07.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Operations research ; Search methodologies ; Planning and Scheduling

Sažetak
Vehicle routing problems (VRPs) that model transport processes have been intensively studied. Due to environmental concerns, the electric VRP (EVRP), which uses only electric vehicles, has recently attracted more attention. In many cases, such problems need to be solved in a short time, either due to their complexity or because of their dynamic nature. Routing policies (RPs), simple heuristics that build the solution incrementally, are a suitable choice to solve these problems. However, it is difficult to design efficient RPs manually. Therefore, in this paper, we consider the application of genetic programming (GP) to automatically generate new RPs. For this purpose, three RP variants and several domain-specific terminal nodes are defined to optimise three criteria. The results show that GP is able to automatically designed RPs perform, and it finds RPs with good generalisation properties that can effectively solve unseen problems.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marko Đurasević (autor)

Avatar Url Domagoj Jakobović (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi dl.acm.org

Citiraj ovu publikaciju:

Gil Gala, Francisco Javier; Marko Đurasević; Domagoj Jakobović
Genetic programming for electric vehicle routing problem with soft time windows // GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Boston (MA), Sjedinjene Američke Države, 2022. str. 542-545 doi:10.1145/3520304.3528994 (poster, međunarodna recenzija, sažetak, znanstveni)
Gil Gala, F., Marko Đurasević & Domagoj Jakobović (2022) Genetic programming for electric vehicle routing problem with soft time windows. U: GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion doi:10.1145/3520304.3528994.
@article{article, author = {Gil Gala, Francisco Javier}, year = {2022}, pages = {542-545}, DOI = {10.1145/3520304.3528994}, keywords = {Operations research, Search methodologies, Planning and Scheduling}, doi = {10.1145/3520304.3528994}, title = {Genetic programming for electric vehicle routing problem with soft time windows}, keyword = {Operations research, Search methodologies, Planning and Scheduling}, publisherplace = {Boston (MA), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {Gil Gala, Francisco Javier}, year = {2022}, pages = {542-545}, DOI = {10.1145/3520304.3528994}, keywords = {Operations research, Search methodologies, Planning and Scheduling}, doi = {10.1145/3520304.3528994}, title = {Genetic programming for electric vehicle routing problem with soft time windows}, keyword = {Operations research, Search methodologies, Planning and Scheduling}, publisherplace = {Boston (MA), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }

Citati:





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