Routing with time-windows for multiple environmental vehicle types

Computers and Industrial Engineering

Volumn 89, Issue , 2015, Pages 150-161

  Yang, Bin ^a   Hu, Zhi Hua ^a   Wei, Chen ^b   Li, Shu Qin ^b   Zhao, Lei ^b   Jia, Shuai ^a  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b Shanghai Jiao Tong University   (China)

Author keywords

Environmental vehicle; Hybrid genetic algorithm; Low carbon logistics; Vehicle routing problem with time window

Indexed keywords

ALGORITHMS; COST BENEFIT ANALYSIS; COSTS; CUSTOMER SATISFACTION; ENVIRONMENTAL IMPACT; ENVIRONMENTAL MANAGEMENT; GENETIC ALGORITHMS; NETWORK ROUTING; OPERATING COSTS; OPTIMIZATION; POLLUTION; POLLUTION CONTROL; ROUTING ALGORITHMS; SALES; SENSITIVITY ANALYSIS; VEHICLE ROUTING; VEHICLES;

ENVIRONMENTAL PERFORMANCE; ENVIRONMENTAL POLLUTIONS; HYBRID GENETIC ALGORITHMS; LOW CARBON LOGISTICS; ROUTING OPTIMIZATION; STRONG CORRELATION; VEHICLE ROUTING PROBLEM; VEHICLE ROUTING PROBLEM WITH TIME WINDOWS;

HYBRID VEHICLES;

EID: 84947033535     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2015.02.001     Document Type: Article

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