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Research On Residential Express Delivery Route Planning Based On Improved Ant Colony Algorithm

Posted on:2020-08-18Degree:MasterType:Thesis
Country:ChinaCandidate:K XuFull Text:PDF
GTID:2428330590454671Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
With the improvement of China's economic level and the rapid development of e-commerce,China's express delivery business volume ranks first in the world,the express delivery industry plays an extremely important role in the development of the country and society.Express delivery route planning is at the core of the express delivery industry,but because express delivery accounts for a large total logistics cost,therefore,the optimization of distribution vehicle path is a hot topic of current research,a scientific and rational distribution path can effectively help companies reduce transportation costs,enhance their competitiveness and improve customer satisfaction.This paper first analyzes the problems of high cost,poor timeliness and poor service quality in current express delivery,the mathematical model,components,solution methods and main classifications of vehicle path planning are introduced.The system explains the operation principle of ant colony and immune algorithm,mathematical model and algorithm execution steps,and analyzes the advantages and disadvantages of both.An improved ant colony algorithm is proposed for the common problems of express delivery,the mathematical model of vehicle path planning and the advantages and disadvantages of ant colony algorithm in solving problems.Based on the idea of complementary advantages of ant colony algorithm and immune algorithm,a dynamic fusion scheme of two algorithms is constructed,and the related constraints such as vehicle distance,load capacity are introduced.The cost and full load rate are used as optimization targets.Some optimizations and improvements are made to the operation mechanism of the two algorithms,and the optimization performance of Levy Flight maximization algorithm is introduced.The simulation of the example proves that the improved ant colony algorithm has certain effectiveness.Taking A Express Company's Fengchao Express delivery route selection optimization problem as an example,the specific problem is transformed into thevehicle routing model,and the improved ant colony algorithm is applied to optimize the solution on this problem,and a better distribution scheme is obtained,and compared with the previous A delivery company's pre-planning distribution plan,it is calculated that the improved ant colony algorithm has better solution than the previous path,which can effectively reduce the total cost of distribution and total mileage,and reduce the number of express delivery vehicles and delivery personnel,this has important practical significance for the development of A Express' s express delivery.Finally,the whole article is summarized and the main research directions of ant colony algorithm and express delivery route planning are clarified.
Keywords/Search Tags:Ant Colony Algorithm, Immune algorithm, Levy Flight, Vehicle path planning
PDF Full Text Request
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