TY - GEN
T1 - Green Vehicle Routing Problem
T2 - 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
AU - Wu, Cheng Yuan
AU - Visutarrom, Thammarsat
AU - Chiang, Tsung Che
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/18
Y1 - 2018/12/18
N2 - Recently, the green vehicle routing problem (GVRP) starts to attract the attention of researchers due to the awareness of the environmental impact of transportation. The GRVP is an extension of the classical VRP by taking minimization of travel distance as well as carbon emissions as the objectives. In this paper, we solved the GVRP by a multiobjective evolutionary algorithm to find the set of Pareto optimal solutions. We found that the tradeoff between travel distance and carbon emissions is small with a load-distance emission model and a parameter setting in the literature. The tradeoff becomes significant only when the emissions of an empty vehicle and of a full-load vehicle differ a lot. Whether the GVRP should be treated as a multiobjective optimization problem (MOP) or not needs more investigation in the future.
AB - Recently, the green vehicle routing problem (GVRP) starts to attract the attention of researchers due to the awareness of the environmental impact of transportation. The GRVP is an extension of the classical VRP by taking minimization of travel distance as well as carbon emissions as the objectives. In this paper, we solved the GVRP by a multiobjective evolutionary algorithm to find the set of Pareto optimal solutions. We found that the tradeoff between travel distance and carbon emissions is small with a load-distance emission model and a parameter setting in the literature. The tradeoff becomes significant only when the emissions of an empty vehicle and of a full-load vehicle differ a lot. Whether the GVRP should be treated as a multiobjective optimization problem (MOP) or not needs more investigation in the future.
UR - http://www.scopus.com/inward/record.url?scp=85060806970&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060806970&partnerID=8YFLogxK
U2 - 10.1109/ICARCV.2018.8581240
DO - 10.1109/ICARCV.2018.8581240
M3 - Conference contribution
AN - SCOPUS:85060806970
T3 - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
SP - 1659
EP - 1664
BT - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 November 2018 through 21 November 2018
ER -