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基于集群优化蚁群算法的加工空行程优化方法
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作者 王海超 《计算机集成制造系统》 EI CSCD 北大核心 2024年第11期3866-3876,共11页
针对航天壁板结构件空行程优化的大规模非对称性,提出一种将最大最小蚁群系统与节点集优化算法和3-opt局部搜索算子结合的集群优化蚁群算法。在该算法中,以腔体特征为单位进行编码,通过节点集优化算法在多项式时间内计算当前腔体序列的... 针对航天壁板结构件空行程优化的大规模非对称性,提出一种将最大最小蚁群系统与节点集优化算法和3-opt局部搜索算子结合的集群优化蚁群算法。在该算法中,以腔体特征为单位进行编码,通过节点集优化算法在多项式时间内计算当前腔体序列的最佳进/退刀点的选择方案;腔体间的启发式信息跟随当前蚂蚁已访问过的路径而变化,其值为当前腔体的所有进/退刀点组合相对于前一腔体的空走时间的增量期望值;提出一种非对称问题的3-opt局部搜索算子,在Hamilton回路的邻域重组中不倒转路径方向,进而通过复用相邻节点集间的最短路径计算结果降低算法复杂度。该算法将两阶段问题作为一个整体进行求解,使得每次迭代都能找到当前最优解的最佳邻域,保证了求解效率和精度。 展开更多
关键词 空行程优化 最大最小蚁群系统 进/退刀点选择 局部搜索 节点集优化 非对称性问题
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A survey of numerical algorithms for trajectory optimization of flight vehicles 被引量:32
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作者 HUANG GuoQiang LU YuPing NAN Ying 《Science China(Technological Sciences)》 SCIE EI CAS 2012年第9期2538-2560,共23页
As one of the important components of computational flight mechanics and control,numerical algorithms of trajectory optimization for flight vehicles are currently studied by many researchers in aerospace engineering t... As one of the important components of computational flight mechanics and control,numerical algorithms of trajectory optimization for flight vehicles are currently studied by many researchers in aerospace engineering to completely solve these difficult problems,but few papers on the survey of this research field have been published recently.Based on the investigation of more than one hundred literatures,considering the application perspectives of computational flight mechanics and recent developments of trajectory optimization,the numerical algorithms of trajectory optimizations for aerospace vehicles are summarized and systematically analyzed.This paper summarized the basic principle,characteristics and application for all kinds of current trajectory optimization algorithms;and introduced some new methods and theories appearing in recent years.Finally,collaborative trajectory optimization for many flight vehicles,and hypersonic vehicle trajectory optimization were mainly reviewed in this paper.In the conclusion of this paper,the future research properties are presented regarding to numerical algorithms of trajectory optimization and control for flight vehicles as follows:collaboration and antagonization for many flight vehicles and multiple targets,global,real-time online,high accuracy of 7-D trajectory,considering all kinds of unknown random disturbances in trajectory optimization,and so on. 展开更多
关键词 computational flight dynamics flight trajectory optimization numerical algorithms SURVEY global optimization
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