Research on Optimization Method and Algorithm Design of Green Simultaneous Pick-up and Delivery Vehicle Scheduling under Uncertain Demand

In order to solve the problem that existing low-carbon vehicle scheduling model ignores economic benefits of enterprises and cannot fully reflect fuzzy needs customers, green simultaneous pick-up delivery is studied here. With goal minimizing total cost composed service cost, fuel consumption carbon emission a multi-objective comprehensive under demand established. consider objective uncertainty customer time, triangular numbers are introduced considered. An improved genetic tabu search algorithm proposed this problem. GA-TS algorithm, penalty factor into fitness function, selection operator combined with elite strategy adopted, mutation proposed. The Taguchi analysis method used obtain reasonable parameter settings algorithm. Finally, case study verify effectiveness hybrid experimental results show can effectively optimize vehicles demand, feasibility verified by comparing different algorithms sizes.