摘要
为使锚泊系统能根据船舶使用环境,合理地调整锚链张力来保证船舶作业安全和定位要求,其张力的优化分配是必要的。在研究锚链张力优化模型和遗传算法基础上,针对遗传算法早熟收敛,后期搜索迟钝及多样性保持不好的缺点,采用个体相似度交叉配对策略,改进交叉、变异自适应操作、非线性规划;量子化编码,旋转门动态调整及自适应量子变异、灾变的措施改进遗传算法,并将改进算法应用于1 000 t应急打捞起重船锚泊定位系统张力优化中,仿真结果及性能分析表明该方法全局搜索能力和收敛性能明显提高。验证了改进张力分配算法的合理性和有效性。
In order to make the mooring system reasonably adjust the tensions to ensure the operation of ship＇s safety and positioning requirements according to environment conditions, the tension optimization allocation is necessary. In this paper, tension optimization model of chains and genetic algorithm theory are studied. To overcome the genetic algorithm＇s premature convergence, slow convergence speed and the bad population diversity the measures of cross matching strategy of individual similarity, adaptive adjustment of crossover and mutation probability, nonlinear programming; quantum encoding,rotation gate dynamic adjustment, adaptive quantum mutation and catastrophe are adopted to improve algorithms. Finally,the improved algorithms are applied to simulate in tension optimization of a 1 000t emergency salvage crane ship＇s mooring system, the results show that the methods＇ global optimum capability and convergence rate are obviously improved, and verify the tension optimizing allocation algorithms that are reasonable and effective.
作者
李业
陈红卫
LI Ye;CHEN Hong-wei(School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China)
出处
《舰船科学技术》
北大核心
2018年第3期66-70,共5页
Ship Science and Technology
基金
江苏省产学研联合创新资金资助项目(BY2013066-08)
江苏科技大学海洋装备研究院科研基金资助项目(HZ2015006)
关键词
锚泊定位
张力优化
改进遗传算法
个体相似度
量子计算
mooring positioning
tension optimizing
improved genetic algorithm
individual similarity
quantum computation
