Study on an Improved Optimization Model of Logistics Distribution Vehicle Scheduling based on Stranger Problem
نویسندگان
چکیده
Abstract This paper establishes an improved optimization model of logistics distribution vehicle scheduling based on “Stranger Problem”, which the common vehicle scheduling model does not consider, by defining two parameters named “Strange Degree” and “Strange Coefficient”, and makes a experimental computation by using improved C-W algorithm. The computational results prove the feasibility and efficiency of the improved optimization model.
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