摘要
面对越来越高的节能减排要求,研究特定航线营运船舶的航速优化方案,对于船舶所有人来说具有重要的现实意义。提出一种融合遗传算法和二分法的船舶航速优化方法,考虑实时气象和风浪条件,构建简化油耗模型,深入阐述遗传算法和多约束条件下的航速快速寻优方法。根据实船反馈的数据动态调整每日航速优化建议并将其推送至船端,通过比较目标航次数据与优化航次数据,验证该方法的有效性。结果表明,采用该船舶航速优化方法能达到降低全航路油耗的目标。
The speed optimization has been a popular method for reducing fuel cost and greenhouse gas emission.This paper presents a whole route speed optimization method based on genetic algorithm with bisection method.The optimization objective is to achieve the lowest fuel consumption of a voyage under the condition of actual weather and main engine fuel consumption rate.A simplified model is constructed and the multi constrained optimization algorithm is studied in depth.The optimization scheme is verified through sending speed suggestions to navigating ships in real time according to the data from them.
作者
赵科
张焱飞
文逸彦
ZHAO Ke;ZHANG Yanfei;WEN Yiyan(China COSCO SHIPPING Corporation Limited, Shanghai 200127, China;State Key Laboratory of Navigation and Safety Technology, Shanghai Ship and Shipping Research Institute, Shanghai 200135, China)
出处
《上海船舶运输科学研究所学报》
2021年第4期1-5,共5页
Journal of Shanghai Ship and Shipping Research Institute
关键词
遗传算法
二分法
航速优化
营运船舶
genetic algorithm
bisection method
speed optimization
operating ship
作者简介
赵科(1976—),男,浙江东阳人,高级工程师,硕士,主要从事船舶技术研究。
