Port choice for the tramp shipping is significantly affected by the dispatch and demurrage in the shipping contract.The model of docking and speed optimization of tramp shipping is established under the condition of probability of default for speed optimization and port choice problem,and the influence of demurrage and dispatch on the profit of ship-owner is considered.The improved particle swarm optimization(PSO)algorithm,two stage PSO is used to solve the model.By the example analyzing,it is found that the two stage PSO is superior to the traditional PSO in terms of operation speed and result.Finally,it is found that sensitivity analysis of default rate,demurrage and handling efficiency show that the profit of shipping company would increase with the rise of default rate,demurrage and handling efficiency within a certain range.%航运合约中的速遣费和滞期费对不定期船港口选择有重要影响.针对不定期船舶航速优化和港口选择问题,建立货主存在违约概率情况下不定期船港口选择停靠和航速优化模型,并考虑滞期费和速遣费对船公司利润的影响,使用改进型粒子群算法——两阶段粒子群算法进行求解模型.通过算例分析,将改进型粒子群算法与传统粒子群算法对比,发现改进型粒子群算法无论在收敛速度还是计算结果方面都优于传统粒子群算法.最后通过灵敏度分析发现,船公司利润在一定范围内会随着违约率、滞期费和港口装卸效率的上升而上升.
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