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A Hybrid Genetic Algorithm for Vehicle Routing Problem which Considers Traffic Situations and Stochastic Demands  

Kim, Gi-Tae (국방대학교 운영분석학과)
Jeon, Geon-Uk (국방대학교 운영분석학과)
Publication Information
Journal of Korean Society of Transportation / v.28, no.5, 2010 , pp. 107-116 More about this Journal
Abstract
The vehicle travel time between locations in a downtown is greatly influenced by both complex road conditions and traffic situation that changes real time according to various external variables. The customer's demands also stochastically change by time period. Most vehicle routing problems suggest a vehicle route considering travel distance, average vehicle speed, and deterministic demand; however, they do not consider the dynamic external environment, including items such as traffic conditions and stochastic demand. A realistic vehicle routing problem which considers traffic (smooth, delaying, and stagnating) and stochastic demands is suggested in this study. A mathematical programming model and hybrid genetic algorithm are suggested to minimize the total travel time. By comparing the results considering traffic and stochastic demands, the suggested algorithm gives a better solution than existing algorithms.
Keywords
Vehicle Routing Problem; Traffic Situation; Stochastic Demand; Genetic Algorithm; Heuristic;
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