摘要
在对多种运输方式比较分析的基础上,从运输成本、换装成本及时间惩罚成本3个角度,建立多式联运网络模型,采用改进遗传算法进行模型求解,在标准遗传算法基础上引入移民算子,保证了种群多样性,避免了局部最优,增强了算法搜索能力.采用MATLAB计算平台对模型进行案例求解,结果表明,采用多式联运网络运作模型的成本降低了45.8%,从而验证了多式联运网络运作模型的有效性和实用性.
Mathematical models of multimodal transportation are built by integrating transportation cost, conversion cost and punishment cost of time based the comparison of various modes of transportation. Model solution algorithm uses improved Genetic Algorithm added immigration factor, which can avoid the local optimum, ensure the diversity population, and enhance search abilities. Models are solved with MATLAB computing platform, and will achieve the optimal network operation scheme of models. Example results show that port logistics multimodal transportation network operation cost is reduced by 45.8%, which has verified the effectiveness and practicability of the proposed network operation models.
出处
《成组技术与生产现代化》
2015年第2期23-31,共9页
Group Technology & Production Modernization
基金
攀枝花市科技计划资助项目(2014CY-G-27)
关键词
多式联运
遗传算法
网络优化
multimodal transportation
genetic algorithm
network optimization
