基于蚁群算法的船舶调度优化研究
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摘要
新时期背景下,国际贸易活动日益频繁,船舶的大型化发展趋势愈加明显,也为集装箱海运运输网络转型发展提供了必要平台,逐渐发展成健全网络体系。在这种情况下,对船舶的优化调度作用逐渐突显出来,通过对船舶运力的合理规划能够使船舶企业营运的成本支出明显减少,现实意义显著。而在优化船舶调度方面,将蚁群算法引入其中,构建以蚁群算法为基础的船舶调度优化模型,能够为船舶调度工作的顺利开展提供有价值的参考依据,进一步推动现代船舶行业的进步与发展。
Under the background of the new era, international trade activities have become more frequent, and the development trend of large-scale ships has become more and more obvious. It has also provided a necessary platform for the transformation and development of container shipping networks, and has gradually developed into a sound network system.Under this circumstance, the optimal dispatching effect on the ship is gradually highlighted. Through the reasonable planning of the ship's capacity, the cost of the ship's enterprise operation can be significantly reduced, and the practical significance is significant. In the aspect of optimizing ship scheduling, the ant colony algorithm is introduced into it, and the ship scheduling optimization model based on ant colony algorithm is constructed, which can provide valuable reference for the smooth development of ship dispatching work and further promote the progress of modern shipbuilding industry. development of.
Under the background of the new era, international trade activities have become more frequent, and the development trend of large-scale ships has become more and more obvious. It has also provided a necessary platform for the transformation and development of container shipping networks, and has gradually developed into a sound network system.Under this circumstance, the optimal dispatching effect on the ship is gradually highlighted. Through the reasonable planning of the ship's capacity, the cost of the ship's enterprise operation can be significantly reduced, and the practical significance is significant. In the aspect of optimizing ship scheduling, the ant colony algorithm is introduced into it, and the ship scheduling optimization model based on ant colony algorithm is constructed, which can provide valuable reference for the smooth development of ship dispatching work and further promote the progress of modern shipbuilding industry. development of.
引文
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[2]黄安子,包贤禄,陈华锋,等. EV充电站选址定容及基于蚁群算法概念的建设规划方案研究[J].上海节能,2018(11):901–906.
[3]周创明,于明秋,邢瑞康.无线mesh网中QoS流量均衡策略研究[J/OL].计算机应用研究:1–6[2018-12-23].
[4]吴相飞,敖银辉.基于蚁群算法的进路搜索算法研究及应用[J].机械工程与自动化,2018(06):75–77.
[5]程磊,沈洋洋.基于改进元胞蚁群算法的铁路取送车问题研究[J].合肥工业大学学报(自然科学版),2018,41(11):1496–1501.