Path Optimization of Container Multimodal Transportation Based on Improved Genetic Algorithm

Author:

Li Jing1,Yang Yue Fang1,Liu Huan2

Affiliation:

1. Beijing Jiaotong University

2. China University of Mining and Technology

Abstract

This paper mainly studies on the optimization and algorithm of multimodal transport path. The algorithm considered the transportation time, freight, the different transport ways, and the possibility of occurrence of facelift premise between each node. All of this determined the best path and the mixture of intermodal transport, which minimize the total freight fee. Take the complexity of multimodal optimization into account, this paper optimized the genetic algorithm to transport scheme. The certain population of crossover and mutation rules in application will continue to evolve by coding each path, finally achieve the solution of concrete steps.

Publisher

Trans Tech Publications, Ltd.

Reference5 articles.

1. Ruiju Yu. Container Multimodal Transport Study on Combinatorial Optimization and Hierarchical Optimization[D]. Qingdao University, 2010. (In Chinese).

2. Yan Shi. Research on Multimodal Transport Portfolio Optimization Model[J]. Science and Technology Information, 2011. (14): 131-132(In Chinese).

3. Wenhu He. Hybrid Genetic Algorithm Optimization Selection of Intermodal[D]. Dalian: Dalian Maritime University, 2011(In Chinese).

4. Qiuli Zhang, Shengchuan Zhao, Ronghan Yao. Road Congestion Charging Impact on Traffic Flow Simulation[J]. China Sciencepaper Online. 2009(4): 718-722(In Chinese).

5. Qian Chen. The Multimodal Transport Operator Based on Combinatorial Auction Bidding Model Research[D]. Dalian: Dalian Maritime University, 2011(In Chinese).

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