The Optimization Model and its Algorithms for Multiple Transportation Modes Selection in the Fourth Party Logistics

Abstract:

Each transport mode owns itself technical economy. On the basis of multiple transport mode selection, the paper presents the route optimization model for single-task from one origination to one destination in the fourth party logistics, and gives the solution of Genetic Algorithms. In the algorithms, a length-variant encoding scheme of round number is adopted to represent the selected route, and idea that keeps the best individual is used. The results of experiments show that Genetic Algorithms can solve the route optimization problem based on the selection of multiple transport modes in the fourth party logistics conveniently and effectively.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 2249-2255
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.2249
• Online since: November 2011
• Authors: Gui Hua Li, Min Huang
• Keywords: Fourth Party Logistics, Genetic Algorithm (GA), Transport Mode

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