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- W2370348252 abstract "This paper proposes a hybrid heuristic algorithm combing variable neighborhood descent search with genetic algorithm( GA_VND) to solve vehicle routing problem with simultaneous delivery and pickup. By the use of the initial populations generated randomly,the weak feasible solutions are produced by the crossover and mutation operators of genetic algorithm. And then,the best of them was selected as initial solution of variable neighborhood descent algorithm. Finally,in the process of the variable neighborhood descent search,two different neighborhood structures are used to search the locally optimal solution. The simulation results show that GA_VND can update 8 better solutions in the 54 best known solutions,which illustrates that GA_VND is an effective method for vehicle routing problem with simultaneous delivery and pickup." @default.
- W2370348252 created "2016-06-24" @default.
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- W2370348252 date "2015-01-01" @default.
- W2370348252 modified "2023-09-23" @default.
- W2370348252 title "A Hybrid Genetic and Variable Neighborhood Descent Algorithm for Vehicle Routing Problem with Simultaneous Delivery and Pickup" @default.
- W2370348252 hasPublicationYear "2015" @default.
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