The invention discloses a ship cross section structure optimization method based on an improved bee colony algorithm. Firstly, a discrete structure model is converted into a continuous optimization model based on a component library index, so that a foundation is laid for application of a bee colony algorithm. Secondly, in order to solve latitude explosion caused by high-dimensional optimization, uniform Logistic mapping is designed to be used for initializing the profile size of the component, so that the randomness and the ergodicity of a decision-making space are improved; due to the fact that the bee colony algorithm has the problems that exploration is precise and mining is neglected, the individual excellence degree and the algorithm proceeding degree are considered, and dynamic leading bee searching and following bee following strategies are rebuilt respectively, so that the searching capacity of the algorithm is balanced, and the quality searching quality of the algorithm is enhanced. And finally, based on section modulus sensitivity analysis, normalizing a continuous value of iterative solution so as to meet actual engineering requirements. According to the method, global search and local search tendencies of each individual can be adaptively adjusted, the ship structure optimization efficiency and result precision are improved, and the method has practical value.
本发明公开了一种基于改进蜂群算法的船舶横剖面结构优化方法。首先基于构件库索引将离散结构模型转换为连续优化模型,从而为蜂群算法应用奠定基础。其次,为解决高维优化带来的纬度爆炸,设计均匀化的Logistic映射用于构件剖面尺寸初始化,以提高决策空间随机性和遍历性。由于蜂群算法存在精于勘探、疏于开采的问题,考虑个体优良度和算法进行度,分别重建动态的引领蜂搜索和跟随蜂跟随策略,从而平衡算法的搜索能力,增强其寻优质量。最后,基于剖面模数敏感度分析,将迭代求解的连续值规格化,以符合实际工程需求。本方法能够自适应调节每一个体的全局搜索和局部搜索倾向,提升了船舶结构优化的效率和结果精度,具备实用价值。
Ship cross section structure optimization method based on improved bee colony algorithm
一种基于改进蜂群算法的船舶横剖面结构优化方法
2023-04-04
Patent
Elektronische Ressource
Chinesisch
An Ant Colony Algorithm for efficient ship routing
Online Contents | 2013
|An ant colony optimization–genetic algorithm approach for ship pipe route design
Online Contents | 2014
|