memory structure adapted simulated annealing algorithm for a green vehicle routing problem
Currently, reduction of carbon dioxide (CO₂) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly impo...
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| Published in | Environmental science and pollution research international Vol. 22; no. 5; pp. 3279 - 3297 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer-Verlag
01.03.2015
Springer Berlin Heidelberg Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0944-1344 1614-7499 1614-7499 |
| DOI | 10.1007/s11356-014-3253-5 |
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| Abstract | Currently, reduction of carbon dioxide (CO₂) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly important factor in overall supply chain operations. Within these operations, transportation has the most hazardous effects on the environment, i.e., CO₂emissions, fuel consumption, noise and toxic effects on the ecosystem. This study aims to construct vehicle routes with time windows that minimize the total fuel consumption and CO₂emissions. The green vehicle routing problem with time windows (G-VRPTW) is formulated using a mixed integer linear programming model. A memory structure adapted simulated annealing (MSA-SA) meta-heuristic algorithm is constructed due to the high complexity of the proposed problem and long solution times for practical applications. The proposed models are integrated with a fuel consumption and CO₂emissions calculation algorithm that considers the vehicle technical specifications, vehicle load, and transportation distance in a green supply chain environment. The proposed models are validated using well-known instances with different numbers of customers. The computational results indicate that the MSA-SA heuristic is capable of obtaining good G-VRPTW solutions within a reasonable amount of time by providing reductions in fuel consumption and CO₂emissions. |
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| AbstractList | Currently, reduction of carbon dioxide (CO2) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly important factor in overall supply chain operations. Within these operations, transportation has the most hazardous effects on the environment, i.e., CO2 emissions, fuel consumption, noise and toxic effects on the ecosystem. This study aims to construct vehicle routes with time windows that minimize the total fuel consumption and CO2 emissions. The green vehicle routing problem with time windows (G-VRPTW) is formulated using a mixed integer linear programming model. A memory structure adapted simulated annealing (MSA-SA) meta-heuristic algorithm is constructed due to the high complexity of the proposed problem and long solution times for practical applications. The proposed models are integrated with a fuel consumption and CO2 emissions calculation algorithm that considers the vehicle technical specifications, vehicle load, and transportation distance in a green supply chain environment. The proposed models are validated using well-known instances with different numbers of customers. The computational results indicate that the MSA-SA heuristic is capable of obtaining good G-VRPTW solutions within a reasonable amount of time by providing reductions in fuel consumption and CO2 emissions. Currently, reduction of carbon dioxide (CO sub(2)) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly important factor in overall supply chain operations. Within these operations, transportation has the most hazardous effects on the environment, i.e., CO sub(2) emissions, fuel consumption, noise and toxic effects on the ecosystem. This study aims to construct vehicle routes with time windows that minimize the total fuel consumption and CO sub(2) emissions. The green vehicle routing problem with time windows (G-VRPTW) is formulated using a mixed integer linear programming model. A memory structure adapted simulated annealing (MSA-SA) meta-heuristic algorithm is constructed due to the high complexity of the proposed problem and long solution times for practical applications. The proposed models are integrated with a fuel consumption and CO sub(2) emissions calculation algorithm that considers the vehicle technical specifications, vehicle load, and transportation distance in a green supply chain environment. The proposed models are validated using well-known instances with different numbers of customers. The computational results indicate that the MSA-SA heuristic is capable of obtaining good G-VRPTW solutions within a reasonable amount of time by providing reductions in fuel consumption and CO sub(2) emissions. Currently, reduction of carbon dioxide (CO₂) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly important factor in overall supply chain operations. Within these operations, transportation has the most hazardous effects on the environment, i.e., CO₂emissions, fuel consumption, noise and toxic effects on the ecosystem. This study aims to construct vehicle routes with time windows that minimize the total fuel consumption and CO₂emissions. The green vehicle routing problem with time windows (G-VRPTW) is formulated using a mixed integer linear programming model. A memory structure adapted simulated annealing (MSA-SA) meta-heuristic algorithm is constructed due to the high complexity of the proposed problem and long solution times for practical applications. The proposed models are integrated with a fuel consumption and CO₂emissions calculation algorithm that considers the vehicle technical specifications, vehicle load, and transportation distance in a green supply chain environment. The proposed models are validated using well-known instances with different numbers of customers. The computational results indicate that the MSA-SA heuristic is capable of obtaining good G-VRPTW solutions within a reasonable amount of time by providing reductions in fuel consumption and CO₂emissions. Currently, reduction of carbon dioxide (CO 2 ) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly important factor in overall supply chain operations. Within these operations, transportation has the most hazardous effects on the environment, i.e., CO 2 emissions, fuel consumption, noise and toxic effects on the ecosystem. This study aims to construct vehicle routes with time windows that minimize the total fuel consumption and CO 2 emissions. The green vehicle routing problem with time windows (G-VRPTW) is formulated using a mixed integer linear programming model. A memory structure adapted simulated annealing (MSA-SA) meta-heuristic algorithm is constructed due to the high complexity of the proposed problem and long solution times for practical applications. The proposed models are integrated with a fuel consumption and CO 2 emissions calculation algorithm that considers the vehicle technical specifications, vehicle load, and transportation distance in a green supply chain environment. The proposed models are validated using well-known instances with different numbers of customers. The computational results indicate that the MSA-SA heuristic is capable of obtaining good G-VRPTW solutions within a reasonable amount of time by providing reductions in fuel consumption and CO 2 emissions. Currently, reduction of carbon dioxide (CO2) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly important factor in overall supply chain operations. Within these operations, transportation has the most hazardous effects on the environment, i.e., CO2 emissions, fuel consumption, noise and toxic effects on the ecosystem. This study aims to construct vehicle routes with time windows that minimize the total fuel consumption and CO2 emissions. The green vehicle routing problem with time windows (G-VRPTW) is formulated using a mixed integer linear programming model. A memory structure adapted simulated annealing (MSA-SA) meta-heuristic algorithm is constructed due to the high complexity of the proposed problem and long solution times for practical applications. The proposed models are integrated with a fuel consumption and CO2 emissions calculation algorithm that considers the vehicle technical specifications, vehicle load, and transportation distance in a green supply chain environment. The proposed models are validated using well-known instances with different numbers of customers. The computational results indicate that the MSA-SA heuristic is capable of obtaining good G-VRPTW solutions within a reasonable amount of time by providing reductions in fuel consumption and CO2 emissions.Currently, reduction of carbon dioxide (CO2) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly important factor in overall supply chain operations. Within these operations, transportation has the most hazardous effects on the environment, i.e., CO2 emissions, fuel consumption, noise and toxic effects on the ecosystem. This study aims to construct vehicle routes with time windows that minimize the total fuel consumption and CO2 emissions. The green vehicle routing problem with time windows (G-VRPTW) is formulated using a mixed integer linear programming model. A memory structure adapted simulated annealing (MSA-SA) meta-heuristic algorithm is constructed due to the high complexity of the proposed problem and long solution times for practical applications. The proposed models are integrated with a fuel consumption and CO2 emissions calculation algorithm that considers the vehicle technical specifications, vehicle load, and transportation distance in a green supply chain environment. The proposed models are validated using well-known instances with different numbers of customers. The computational results indicate that the MSA-SA heuristic is capable of obtaining good G-VRPTW solutions within a reasonable amount of time by providing reductions in fuel consumption and CO2 emissions. Issue Title: Environmental Science and Pollution Sensing, Monitoring, Modeling and Remediation Currently, reduction of carbon dioxide (CO2) emissions and fuel consumption has become a critical environmental problem and has attracted the attention of both academia and the industrial sector. Government regulations and customer demands are making environmental responsibility an increasingly important factor in overall supply chain operations. Within these operations, transportation has the most hazardous effects on the environment, i.e., CO2 emissions, fuel consumption, noise and toxic effects on the ecosystem. This study aims to construct vehicle routes with time windows that minimize the total fuel consumption and CO2 emissions. The green vehicle routing problem with time windows (G-VRPTW) is formulated using a mixed integer linear programming model. A memory structure adapted simulated annealing (MSA-SA) meta-heuristic algorithm is constructed due to the high complexity of the proposed problem and long solution times for practical applications. The proposed models are integrated with a fuel consumption and CO2 emissions calculation algorithm that considers the vehicle technical specifications, vehicle load, and transportation distance in a green supply chain environment. The proposed models are validated using well-known instances with different numbers of customers. The computational results indicate that the MSA-SA heuristic is capable of obtaining good G-VRPTW solutions within a reasonable amount of time by providing reductions in fuel consumption and CO2 emissions. |
| Author | Öztürk, Nursel Aksoy, Aslı Küçükoğlu, İlker Ene, Seval |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25056743$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.ejor.2009.06.034 10.1287/trsc.1030.0057 10.1016/j.iatssr.2011.05.001 10.1016/j.eswa.2012.12.014 10.1016/j.cie.2010.03.012 10.1287/opre.38.4.571 10.1126/science.220.4598.671 10.1016/j.cor.2005.07.025 10.1137/1.9780898718515 10.1016/S0954-1810(01)00005-X 10.1016/j.cor.2010.03.015 10.1287/opre.35.2.254 10.1016/j.cor.2011.08.013 10.1016/j.cor.2012.10.002 10.1016/j.eswa.2012.09.012 10.1016/j.eswa.2011.05.075 10.1007/s12046-008-0007-4 10.1016/j.trb.2011.02.004 10.1287/trsc.1030.0056 10.1016/j.ejor.2011.04.037 10.1016/j.tre.2011.08.001 10.1287/mnsc.6.1.80 10.1016/j.trd.2010.08.003 10.1111/j.1937-5956.2012.01338.x 10.1016/0969-6016(94)90032-9 10.1016/j.wasman.2008.07.013 10.3141/2197-01 10.1002/9780470496916 10.1109/SOLI.2012.6273551 10.1100/2012/591343 |
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| Copyright | Springer-Verlag Berlin Heidelberg 2014 Springer-Verlag Berlin Heidelberg 2015 |
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| References | Bektaş, Laporte (CR7) 2011; 45 Kirkpatrick, Gelatt, Vecchi (CR20) 1983; 220 Macedo, Alves, Carvalho, Clautiaux, Hanafi (CR24) 2011; 214 Xiao, Zhao, Kaku, Xu (CR36) 2012; 39 Braess, Seiffert (CR9) 2005 Osman, Christofides (CR25) 1994; 1 Azi, Gendreau, Potvin (CR5) 2010; 202 Bräysy, Gendreau (CR11) 2005; 39 Suzuki (CR29) 2011; 16 Agra, Christiansen, Figueiredo, Hvattum, Poss, Requejo (CR1) 2013; 40 CR18 Wygonik, Goodchild (CR35) 2011; 35 Bodin (CR8) 1990; 38 CR15 Kuo (CR22) 2010; 59 CR12 CR34 Jabali, Van Woensel, Kok (CR19) 2012; 21 Tan, Lee, Zhu, Ou (CR31) 2001; 15 CR30 Toth, Vigo (CR33) 2002 Lin, Yu, Lu (CR23) 2011; 38 Alvarenga, Mateus, Tomi (CR2) 2007; 34 Küçükoğlu, Ene, Aksoy, Öztürk (CR21) 2013; 3 Solomon (CR28) 1987; 35 Gehring, Homberger (CR16) 2001; 18 Banos, Ortega, Gil, Fernandez, Toro (CR6) 2013; 40 CR3 CR26 Bräysy, Gendreau (CR10) 2005; 39 Pradenas, Oportus, Parada (CR27) 2013; 40 Dantzig, Ramser (CR13) 1959; 6 Hoff, Andersson, Christiansen, Hasle, Lokketangen (CR17) 2010; 37 Tavares, Zsigraiova, Semiao, Carvalho (CR32) 2009; 29 Apaydın, Gönüllü (CR4) 2008; 33 Erdoğan, Miller-Hooks (CR14) 2012; 48 R Banos (3253_CR6) 2013; 40 A Hoff (3253_CR17) 2010; 37 N Azi (3253_CR5) 2010; 202 T Bektaş (3253_CR7) 2011; 45 P Toth (3253_CR33) 2002 A Agra (3253_CR1) 2013; 40 LD Bodin (3253_CR8) 1990; 38 O Jabali (3253_CR19) 2012; 21 Y Kuo (3253_CR22) 2010; 59 O Bräysy (3253_CR10) 2005; 39 O Bräysy (3253_CR11) 2005; 39 İ Küçükoğlu (3253_CR21) 2013; 3 R Macedo (3253_CR24) 2011; 214 Y Suzuki (3253_CR29) 2011; 16 3253_CR3 3253_CR26 HO Osman (3253_CR25) 1994; 1 S Erdoğan (3253_CR14) 2012; 48 S Kirkpatrick (3253_CR20) 1983; 220 KC Tan (3253_CR31) 2001; 15 3253_CR30 GB Dantzig (3253_CR13) 1959; 6 HH Braess (3253_CR9) 2005 SW Lin (3253_CR23) 2011; 38 G Tavares (3253_CR32) 2009; 29 3253_CR18 E Wygonik (3253_CR35) 2011; 35 Ö Apaydın (3253_CR4) 2008; 33 H Gehring (3253_CR16) 2001; 18 L Pradenas (3253_CR27) 2013; 40 Y Xiao (3253_CR36) 2012; 39 3253_CR12 3253_CR34 3253_CR15 GG Alvarenga (3253_CR2) 2007; 34 MM Solomon (3253_CR28) 1987; 35 17813860 - Science. 1983 May 13;220(4598):671-80 23365524 - ScientificWorldJournal. 2012;2012:591343 18835768 - Waste Manag. 2009 Mar;29(3):1176-85 |
| References_xml | – volume: 202 start-page: 756 issue: 3 year: 2010 end-page: 763 ident: CR5 article-title: An exact algorithm for a vehicle routing problem with time windows and multiple use of vehicles publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2009.06.034 – ident: CR18 – volume: 39 start-page: 119 issue: 1 year: 2005 end-page: 139 ident: CR11 article-title: Vehicle routing problem with time windows, Part II: metaheuristics publication-title: Transp Sci doi: 10.1287/trsc.1030.0057 – volume: 35 start-page: 7 year: 2011 end-page: 15 ident: CR35 article-title: Evaluating CO emissions, cost, and service quality trade-offs in an urban delivery system case study publication-title: IATTS Res doi: 10.1016/j.iatssr.2011.05.001 – volume: 3 start-page: 16 issue: 7 year: 2013 end-page: 23 ident: CR21 article-title: A green capacitated vehicle routing problem with fuel consumption optimization model publication-title: Int J Comput Eng Res – volume: 40 start-page: 2985 year: 2013 end-page: 2991 ident: CR27 article-title: Mitigation of greenhouse gas emissions in vehicle routing problems with backhauling publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2012.12.014 – volume: 59 start-page: 157 year: 2010 end-page: 165 ident: CR22 article-title: Using simulated annealing to minimize fuel consumption fort the time-dependent vehicle routing problem publication-title: Comput Ind Eng doi: 10.1016/j.cie.2010.03.012 – ident: CR12 – ident: CR30 – volume: 38 start-page: 571 issue: 4 year: 1990 end-page: 579 ident: CR8 article-title: Twenty years of routing and scheduling publication-title: Oper Res doi: 10.1287/opre.38.4.571 – volume: 220 start-page: 671 issue: 4598 year: 1983 end-page: 680 ident: CR20 article-title: Optimization by simulated annealing publication-title: Science doi: 10.1126/science.220.4598.671 – volume: 34 start-page: 1561 year: 2007 end-page: 1584 ident: CR2 article-title: A genetic ans set partitioning two phase approach for the vehicle routing problem with time windows publication-title: Comput Oper Res doi: 10.1016/j.cor.2005.07.025 – year: 2005 ident: CR9 publication-title: Handbook of automotive engineering – year: 2002 ident: CR33 publication-title: The vehicle routing problem doi: 10.1137/1.9780898718515 – volume: 15 start-page: 281 year: 2001 end-page: 295 ident: CR31 article-title: Heuristic methods for vehicle routing problem with time windows publication-title: Artif Intell Eng doi: 10.1016/S0954-1810(01)00005-X – volume: 37 start-page: 2041 year: 2010 end-page: 2061 ident: CR17 article-title: Industrial aspects and literature survey: fleet composition and routing publication-title: Comput Oper Res doi: 10.1016/j.cor.2010.03.015 – volume: 35 start-page: 254 issue: 2 year: 1987 end-page: 265 ident: CR28 article-title: Algorithms for the vehicle routing and scheduling problems with time windows constraints publication-title: Oper Res doi: 10.1287/opre.35.2.254 – volume: 39 start-page: 1419 year: 2012 end-page: 1431 ident: CR36 article-title: Development of a fuel consumption optimization model for the capacitated vehicle routing problem publication-title: Comput Oper Res doi: 10.1016/j.cor.2011.08.013 – volume: 40 start-page: 856 year: 2013 end-page: 866 ident: CR1 article-title: The robust vehicle routing problem with time windows publication-title: Comput Oper Res doi: 10.1016/j.cor.2012.10.002 – volume: 40 start-page: 1696 year: 2013 end-page: 1707 ident: CR6 article-title: A simulated annealing-based parallel multi-objective approach to vehicle routing problems with time windows publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2012.09.012 – volume: 38 start-page: 15244 year: 2011 end-page: 15252 ident: CR23 article-title: A simulated annealing heuristic for the truck and trailer routing problem with time windows publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2011.05.075 – volume: 33 start-page: 71 issue: 2 year: 2008 end-page: 82 ident: CR4 article-title: Emission control with route optimization in solid waste collection process: a case study publication-title: Sadhana doi: 10.1007/s12046-008-0007-4 – ident: CR3 – volume: 45 start-page: 1232 year: 2011 end-page: 1250 ident: CR7 article-title: The pollution-routing problem publication-title: Transp Res B-Meth doi: 10.1016/j.trb.2011.02.004 – ident: CR15 – volume: 39 start-page: 104 issue: 1 year: 2005 end-page: 118 ident: CR10 article-title: Vehicle routing problem with time windows, part I: route construction and local search algorithms publication-title: Transp Sci doi: 10.1287/trsc.1030.0056 – volume: 214 start-page: 536 issue: 3 year: 2011 end-page: 545 ident: CR24 article-title: Solving the vehicle routing problem with time windows and multiple routes exactly using a pseudo-polynomial mode publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2011.04.037 – volume: 48 start-page: 100 year: 2012 end-page: 114 ident: CR14 article-title: A green vehicle routing problem publication-title: Transp Res E-Log doi: 10.1016/j.tre.2011.08.001 – volume: 6 start-page: 80 issue: 1 year: 1959 end-page: 91 ident: CR13 article-title: The truck dispatching problem publication-title: Manag Sci doi: 10.1287/mnsc.6.1.80 – volume: 18 start-page: 35 year: 2001 end-page: 47 ident: CR16 article-title: A parallel two-phase metaheuristic for routing problems with time windows publication-title: Asia Pac J Oper Res – ident: CR34 – volume: 16 start-page: 73 year: 2011 end-page: 77 ident: CR29 article-title: A new truck-routing approach for reducing fuel consumption and pollutants emission publication-title: Transp Res D-Tr E doi: 10.1016/j.trd.2010.08.003 – volume: 21 start-page: 1060 issue: 6 year: 2012 end-page: 1074 ident: CR19 article-title: Analysis of travel times and CO emissions in time-dependent vehicle routing publication-title: Prod Oper Manag doi: 10.1111/j.1937-5956.2012.01338.x – volume: 1 start-page: 317 issue: 3 year: 1994 end-page: 336 ident: CR25 article-title: Capacitated clustring problems by hybrid simulated annealing and tabu search publication-title: Int Trans Oper Res doi: 10.1016/0969-6016(94)90032-9 – volume: 29 start-page: 1176 year: 2009 end-page: 1185 ident: CR32 article-title: Optimisation of MSW collection routes for minimum fuel consumption using 3D GIS modelling publication-title: Waste Manag doi: 10.1016/j.wasman.2008.07.013 – ident: CR26 – volume: 37 start-page: 2041 year: 2010 ident: 3253_CR17 publication-title: Comput Oper Res doi: 10.1016/j.cor.2010.03.015 – volume: 35 start-page: 254 issue: 2 year: 1987 ident: 3253_CR28 publication-title: Oper Res doi: 10.1287/opre.35.2.254 – ident: 3253_CR15 doi: 10.3141/2197-01 – volume: 29 start-page: 1176 year: 2009 ident: 3253_CR32 publication-title: Waste Manag doi: 10.1016/j.wasman.2008.07.013 – volume: 40 start-page: 856 year: 2013 ident: 3253_CR1 publication-title: Comput Oper Res doi: 10.1016/j.cor.2012.10.002 – volume: 48 start-page: 100 year: 2012 ident: 3253_CR14 publication-title: Transp Res E-Log doi: 10.1016/j.tre.2011.08.001 – volume: 18 start-page: 35 year: 2001 ident: 3253_CR16 publication-title: Asia Pac J Oper Res – volume: 59 start-page: 157 year: 2010 ident: 3253_CR22 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2010.03.012 – volume: 45 start-page: 1232 year: 2011 ident: 3253_CR7 publication-title: Transp Res B-Meth doi: 10.1016/j.trb.2011.02.004 – volume: 214 start-page: 536 issue: 3 year: 2011 ident: 3253_CR24 publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2011.04.037 – volume: 15 start-page: 281 year: 2001 ident: 3253_CR31 publication-title: Artif Intell Eng doi: 10.1016/S0954-1810(01)00005-X – volume: 40 start-page: 1696 year: 2013 ident: 3253_CR6 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2012.09.012 – ident: 3253_CR30 doi: 10.1002/9780470496916 – ident: 3253_CR12 – ident: 3253_CR3 – volume: 38 start-page: 571 issue: 4 year: 1990 ident: 3253_CR8 publication-title: Oper Res doi: 10.1287/opre.38.4.571 – volume: 39 start-page: 104 issue: 1 year: 2005 ident: 3253_CR10 publication-title: Transp Sci doi: 10.1287/trsc.1030.0056 – volume: 34 start-page: 1561 year: 2007 ident: 3253_CR2 publication-title: Comput Oper Res doi: 10.1016/j.cor.2005.07.025 – volume: 33 start-page: 71 issue: 2 year: 2008 ident: 3253_CR4 publication-title: Sadhana doi: 10.1007/s12046-008-0007-4 – volume: 21 start-page: 1060 issue: 6 year: 2012 ident: 3253_CR19 publication-title: Prod Oper Manag doi: 10.1111/j.1937-5956.2012.01338.x – volume: 1 start-page: 317 issue: 3 year: 1994 ident: 3253_CR25 publication-title: Int Trans Oper Res doi: 10.1016/0969-6016(94)90032-9 – volume: 38 start-page: 15244 year: 2011 ident: 3253_CR23 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2011.05.075 – volume: 16 start-page: 73 year: 2011 ident: 3253_CR29 publication-title: Transp Res D-Tr E doi: 10.1016/j.trd.2010.08.003 – volume-title: The vehicle routing problem year: 2002 ident: 3253_CR33 doi: 10.1137/1.9780898718515 – volume-title: Handbook of automotive engineering year: 2005 ident: 3253_CR9 – ident: 3253_CR26 – volume: 6 start-page: 80 issue: 1 year: 1959 ident: 3253_CR13 publication-title: Manag Sci doi: 10.1287/mnsc.6.1.80 – volume: 3 start-page: 16 issue: 7 year: 2013 ident: 3253_CR21 publication-title: Int J Comput Eng Res – ident: 3253_CR18 doi: 10.1109/SOLI.2012.6273551 – volume: 40 start-page: 2985 year: 2013 ident: 3253_CR27 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2012.12.014 – ident: 3253_CR34 doi: 10.1100/2012/591343 – volume: 35 start-page: 7 year: 2011 ident: 3253_CR35 publication-title: IATTS Res doi: 10.1016/j.iatssr.2011.05.001 – volume: 39 start-page: 119 issue: 1 year: 2005 ident: 3253_CR11 publication-title: Transp Sci doi: 10.1287/trsc.1030.0057 – volume: 202 start-page: 756 issue: 3 year: 2010 ident: 3253_CR5 publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2009.06.034 – volume: 220 start-page: 671 issue: 4598 year: 1983 ident: 3253_CR20 publication-title: Science doi: 10.1126/science.220.4598.671 – volume: 39 start-page: 1419 year: 2012 ident: 3253_CR36 publication-title: Comput Oper Res doi: 10.1016/j.cor.2011.08.013 – reference: 18835768 - Waste Manag. 2009 Mar;29(3):1176-85 – reference: 17813860 - Science. 1983 May 13;220(4598):671-80 – reference: 23365524 - ScientificWorldJournal. 2012;2012:591343 |
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