A genetic algorithm with exact dynamic programming for the green vehicle routing & scheduling problem

Journal of Cleaner Production

Volumn 167, Issue , 2017, Pages 1450-1463

  Xiao, Yiyong ^a   Konak, Abdullah ^b  

^a BEIHANG UNIVERSITY   (China)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

CO2 emissions; Dynamic programming; Green logistics; Hybrid optimization; Sustainability

Indexed keywords

CARBON DIOXIDE; FUEL ECONOMY; GAS EMISSIONS; GENETIC ALGORITHMS; GREENHOUSE GASES; RENEWABLE ENERGY RESOURCES; ROADS AND STREETS; ROUTING ALGORITHMS; SCHEDULING; SUSTAINABLE DEVELOPMENT; TRAFFIC CONGESTION; VEHICLE ROUTING;

CO2 EMISSIONS; COMPUTATIONAL EXPERIMENT; DYNAMIC PROGRAMMING ALGORITHM; GREEN LOGISTICS; HYBRID OPTIMIZATION; HYBRID OPTIMIZATION APPROACHES; HYBRID SOLUTION APPROACHES; OPERATIONAL DECISIONS;

DYNAMIC PROGRAMMING;

EID: 85007454331     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2016.11.115     Document Type: Article

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