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- W2393065879 abstract "Long time,premature convergence or stagnation may be arised in the traditional ACA for solving the search.I in order to overcome these shortcomings,this paper makes improvements by ACA selection strategy and pheromone updating improvements to speed up the convergence rate and improve the algorithm's search ability.This paper introduces the improved ACA to solve vehicles scheduling problems.integrated vehicle scheduling theory,the optimal operation of logistics transport vehicles was discussed,and,explore the new method to solve the Vechile Scheduling Problem with Time Window(VSPTW),use matlab language for programming,then examples to verify the algorithm.Proved that,the improved ACA is basically ACA to overcome the general lack of its own to improve the performance of the algorithm." @default.
- W2393065879 created "2016-06-24" @default.
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- W2393065879 date "2012-01-01" @default.
- W2393065879 modified "2023-09-28" @default.
- W2393065879 title "Vehicle Scheduling Based on Improved Ant Colony Algorithm" @default.
- W2393065879 hasPublicationYear "2012" @default.
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