Application of Composite Ant Colony Optimization in Logistics Distribution Center Location

Xiao Lan Liu; Wu Yi Zhang

doi:10.4028/www.scientific.net/AMM.253-255.1476

Paper Titles

Improved Genetic Algorithm for Capacitated Vehicle Routing Problem
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Milk-Run Vehicle Routing Optimization Model and Algorithm of Automobile Parts
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Urban and Rural Logistics and Distribution System Based on Supply and Marketing Cooperatives
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The Planning of the Dynamic Path of the 3rd Party Logistics Center, which Based on the Ant Colony Optimization
p.1472

Application of Composite Ant Colony Optimization in Logistics Distribution Center Location
p.1476

Improved Heuristic Search Algorithm for Multi-Cargo Loading Problem
p.1482

Study on Optimization Model of Multiple Depot Vehicle Scheduling in Logistics Distribution of Expressway Service Area
p.1486

Empirical Study on Influencing Factors of Sichuan Logistics Development Based on Grey Relation Degree Model
p.1492

Research of the Car Demand Forecasting Based on the Seasonal Index Correcting Smoothing Model
p.1496

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 253-255Application of Composite Ant Colony Optimization...

Application of Composite Ant Colony Optimization in Logistics Distribution Center Location

Abstract:

A new model called location, routing, production and sale problem(LRPSP) is proposed for logistics distribution center location in the paper. In this model vehicle routing problem(VRP) and the balance or imbalance problem of production and sale are considered, because all these would influence the selection of locations of logistics distribution centers. And also ant colony optimization(ACO) for clustering and ACO for finding the shortest route are introduced to assign clients to distribution centers and solve VRP respectively for the model. Through designing the transition probability, the tabu list and the way to update pheromones reasonably, the composite algorithm of ACO for clustering and ACO for finding the shortest route(CACO) for LRPSP is realized and the computer program is designed by Java. Finally, it’s proved by a simulation case that CACO is feasibility and scientific effectiveness for LRPSP.

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Periodical:

Applied Mechanics and Materials (Volumes 253-255)

Pages:

1476-1481

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.253-255.1476

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Online since:

December 2012

Authors:

Xiao Lan Liu, Wu Yi Zhang

Keywords:

Ant Colony Optimization (ACO), Distribution Center, Location, Logistic

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