1. Açık Erişim@BUU
  2. İndeksli Yayınlar
  3. Web of Science
Bu öğeden alıntı yapmak, öğeye bağlanmak için bu tanımlayıcıyı kullanınız: http://hdl.handle.net/11452/29955
Başlık: A hybrid metaheuristic algorithm for the green vehicle routing problem with a heterogeneous fleet
Yazarlar: Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü.
0000-0002-2971-2701
0000-0002-5075-0876
Ene, Seval
Küçükoğlu, İlker
Aksoy, Aslı
Öztürk, Nursel
D-8543-2015
AAG-8949-2021
AAG-9336-2021
AAG-9235-2021
48461146800
55763879600
35221094400
7005688805
Anahtar kelimeler: Engineering
Transportation
Green vehicle routing
Heterogeneous fleet
Fuel consumption
HMA
Hybrid metaheuristic algorithm
Tabu search
Simulated annealing
Simulated annealing algorithm
Scheduling problems
Computational results
Tabu search
Optimization
Heuristics
Model
Depot
Truck
Fuels
Routing algorithms
Simulated annealing
Tabu search
Vehicle routing
Vehicles
Capacity constraints
CO2 emissions
Heterogeneous fleet
Hybrid metaheuristic algorithms
Time windows
Vehicle routing problems
Fleet operations
Yayın Tarihi: 2016
Yayıncı: Inderscience Enterprises
Atıf: Ene, S. vd. (2016). "A hybrid metaheuristic algorithm for the green vehicle routing problem with a heterogeneous fleet". International Journal of Vehicle Design, 71(1-4), Special Issue, 75-102.
Özet: In this study, the green vehicle routing problem (GVRP) with a heterogeneous fleet is presented for both capacity and time-windows constraints to reduce fuel consumption and consequently to minimise CO2 emissions. A hybrid metaheuristic algorithm (HMA) is developed to solve this problem to analyse the effect of a heterogeneous fleet on reducing the fuel consumption for the specified variants of GVRP, such as GVRP with capacity constraints and GVRP with time-windows constraints. The proposed HMA is validated using well-known instances with different numbers of customers and fleet configurations. The computational results indicated that the HMA is capable of obtaining good results for GVRP variants within a reasonable amount of time by providing remarkable reductions in fuel consumption and greener fleet configurations.
Açıklama: Bu çalışma, 26–27 Mayıs 2014 tarihleri arasında Bursa[Türkiye]’ da düzenlenen Green vehicle routing optimization with heterogeneous fleet’ presented at 7. Automotive Technologies Congress Kongresi‘nde bildiri olarak sunulmuştur.
URI: https://doi.org/10.1504/IJVD.2016.078771
https://www.inderscienceonline.com/doi/abs/10.1504/IJVD.2016.078771
http://hdl.handle.net/11452/29955
ISSN: 0143-3369
1741-5314
Koleksiyonlarda Görünür:Scopus
Web of Science

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