TY - JOUR
T1 - Solving the green-fuzzy vehicle routing problem using a revised hybrid intelligent algorithm
AU - Wang, Ruonan
AU - Zhou, Jian
AU - Yi, Xiajie
AU - Pantelous, Athanasios A.
PY - 2019/1/29
Y1 - 2019/1/29
N2 - Green logistics is an emerging area in supply chain management, which has been shown to have tremendous impacts in recent years to face the serious climate changes risks. In this paper, the fuel consumption and fuzzy travel time have been delineated in developing and solving the green-fuzzy vehicle routing problem as an extension of the celebrated VRP in which routes are performed to reduce the total expenditure. Different from the existing solution manners, we transform the original fuzzy chance constrained programming model into an equivalent deterministic model, and then revise the original hybrid intelligent algorithm by replacing the embedded fuzzy simulation with analytical function calculation. Finally, a comparative study with the corresponding literature is performed, which shows that the revised algorithm can not only improve the solution accuracy but also shorten the runtime greatly.
AB - Green logistics is an emerging area in supply chain management, which has been shown to have tremendous impacts in recent years to face the serious climate changes risks. In this paper, the fuel consumption and fuzzy travel time have been delineated in developing and solving the green-fuzzy vehicle routing problem as an extension of the celebrated VRP in which routes are performed to reduce the total expenditure. Different from the existing solution manners, we transform the original fuzzy chance constrained programming model into an equivalent deterministic model, and then revise the original hybrid intelligent algorithm by replacing the embedded fuzzy simulation with analytical function calculation. Finally, a comparative study with the corresponding literature is performed, which shows that the revised algorithm can not only improve the solution accuracy but also shorten the runtime greatly.
KW - Fuzzy simulation
KW - Fuzzy travel time
KW - Genetic algorithm
KW - Green logistics
KW - Vehicle routing problem
UR - http://www.scopus.com/inward/record.url?scp=85049577211&partnerID=8YFLogxK
U2 - 10.1007/s12652-018-0703-9
DO - 10.1007/s12652-018-0703-9
M3 - Article
AN - SCOPUS:85049577211
SN - 1868-5137
VL - 10
SP - 321
EP - 332
JO - Journal of Ambient Intelligence and Humanized Computing
JF - Journal of Ambient Intelligence and Humanized Computing
IS - 1
ER -
