期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到343篇文章
< 1 2 … 18 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Selecting between Sequential Zoning and Simultaneous Zoning for Picker-to-parts Order Picking System Based on Order Cluster and Genetic Algorithm 认领 引用 被引量：2
1
作者 SHEN Changpeng WU Yaohua ZHOU Chen 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2011年第5期820-828,共9页
The existing research of sequential zoning system and simultaneous zoning system mainly focuses on some optimization problems such as workload balance,product assignment and simulation for each system separately.But t... The existing research of sequential zoning system and simultaneous zoning system mainly focuses on some optimization problems such as workload balance,product assignment and simulation for each system separately.But there is little research on comparative study between sequential zoning and simultaneous zoning.In order to help the designers to choose the suitable zoning policy for picker-to-parts system reasonably and quickly,a systemic selection method is presented.Essentially,both zoning and batching are order clustering,so the customer order sheet can be divided into many unit grids.After the time formulation in one-dimensional unit was defined,the time models for each zoning policy in two-dimensional space were established using filling curves and sequence models to link the one-dimensional unit grids.In consideration of ＂U＂ shaped dual tour into consideration,the subtraction value of order picking time between sequential zoning and simultaneous zoning was defined as the objective function to select the suitable zoning policy based on time models.As it is convergent enough,genetic algorithm is adopted to find the optimal value of order picking time.In the experimental study,5 different kinds of order/stock keeping unit（SKU） matrices with different densities d and quantities q following uniform distribution were created in order to test the suitability of sequential zoning and simultaneous zoning to different kinds of orders.After parameters setting,experimental orders inputting and iterative computations,the optimal order picking time for each zoning policy was gotten.By observing whether the delta time between them is greater than 0 or not,the suitability of zoning policies for picker-to-parts system were obtained.The significant effect of batch size b,zone number z and density d on suitability was also found by experimental study.The proposed research provides a new method for selection between sequential zoning and simultaneous zoning for picker-to-parts system,and improves the rationality and efficiency of selection process in practical design. 展开更多
关键词 selecting sequential zoning simultaneous zoning order cluster genetic algorithm picker-to-parts
暂未订购 下载PDF
Immune evolutionary algorithms with domain knowledge for simultaneous localization and mapping 认领 引用 被引量：4
2
作者 李枚毅 蔡自兴 《Journal of Central South University of Technology》 2006年第5期529-535,共7页
Immune evolutionary algorithms with domain knowledge were presented to solve the problem of simultaneous localization and mapping for a mobile robot in unknown environments. Two operators with domain knowledge were de... Immune evolutionary algorithms with domain knowledge were presented to solve the problem of simultaneous localization and mapping for a mobile robot in unknown environments. Two operators with domain knowledge were designed in algorithms, where the feature of parallel line segments without the problem of data association was used to construct a vaccination operator, and the characters of convex vertices in polygonal obstacle were extended to develop a pulling operator of key point grid. The experimental results of a real mobile robot show that the computational expensiveness of algorithms designed is less than other evolutionary algorithms for simultaneous localization and mapping and the maps obtained are very accurate. Because immune evolutionary algorithms with domain knowledge have some advantages, the convergence rate of designed algorithms is about 44% higher than those of other algorithms. 展开更多
关键词 immune evolutionary algorithms simultaneous localization and mapping domain knowledge
暂未订购 下载PDF
Active set truncated-Newton algorithm for simultaneous optimization of distillation column 认领 引用 被引量：1
3
作者 梁昔明 《Journal of Central South University of Technology》 2005年第1期93-96,共4页
An active set truncated-Newton algorithm (ASTNA) is proposed to solve the large-scale bound constrained sub-problems. The global convergence of the algorithm is obtained and two groups of numerical experiments are mad... An active set truncated-Newton algorithm (ASTNA) is proposed to solve the large-scale bound constrained sub-problems. The global convergence of the algorithm is obtained and two groups of numerical experiments are made for the various large-scale problems of varying size. The comparison results between ASTNA and the subspace limited memory quasi-Newton algorithm and between the modified augmented Lagrange multiplier methods combined with ASTNA and the modified barrier function method show the stability and effectiveness of ASTNA for simultaneous optimization of distillation column. 展开更多
关键词 simultaneous optimization of distillation column active set truncated-Newton algorithm modified augmented Lagrange multiplier methods numerical experiment
暂未订购 下载PDF
Simultaneous Perturbation Stochastic Approximation Algorithm Combined with Neural Network and Fuzzy Simulation 认领 引用
4
作者 宁玉富 唐万生 郭长友 《Transactions of Tianjin University》 EI CAS 2008年第1期43-49,共7页
In order to solve three kinds of fuzzy programm model, fuzzy chance-constrained programming mode ng models, i.e. fuzzy expected value and fuzzy dependent-chance programming model, a simultaneous perturbation stochasti... In order to solve three kinds of fuzzy programm model, fuzzy chance-constrained programming mode ng models, i.e. fuzzy expected value and fuzzy dependent-chance programming model, a simultaneous perturbation stochastic approximation algorithm is proposed by integrating neural network with fuzzy simulation. At first, fuzzy simulation is used to generate a set of input-output data. Then a neural network is trained according to the set. Finally, the trained neural network is embedded in simultaneous perturbation stochastic approximation algorithm. Simultaneous perturbation stochastic approximation algorithm is used to search the optimal solution. Two numerical examples are presented to illustrate the effectiveness of the proposed algorithm. 展开更多
关键词 fuzzy variable fuzzy programming fuzzy simulation neural network approximation theory perturbation techniques computer simulation simultaneous perturbation stochasticapproximation algorithm
暂未订购 下载PDF
Simultaneous Identification of Thermophysical Properties of Semitransparent Media Using a Hybrid Model Based on Artificial Neural Network and Evolutionary Algorithm 认领 引用
5
作者 LIU Yang HU Shaochuang 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2024年第4期458-475,共18页
A hybrid identification model based on multilayer artificial neural networks(ANNs) and particle swarm optimization(PSO) algorithm is developed to improve the simultaneous identification efficiency of thermal conductiv... A hybrid identification model based on multilayer artificial neural networks(ANNs) and particle swarm optimization(PSO) algorithm is developed to improve the simultaneous identification efficiency of thermal conductivity and effective absorption coefficient of semitransparent materials.For the direct model,the spherical harmonic method and the finite volume method are used to solve the coupled conduction-radiation heat transfer problem in an absorbing,emitting,and non-scattering 2D axisymmetric gray medium in the background of laser flash method.For the identification part,firstly,the temperature field and the incident radiation field in different positions are chosen as observables.Then,a traditional identification model based on PSO algorithm is established.Finally,multilayer ANNs are built to fit and replace the direct model in the traditional identification model to speed up the identification process.The results show that compared with the traditional identification model,the time cost of the hybrid identification model is reduced by about 1 000 times.Besides,the hybrid identification model remains a high level of accuracy even with measurement errors. 展开更多
关键词 semitransparent medium coupled conduction-radiation heat transfer thermophysical properties simultaneous identification multilayer artificial neural networks(ANNs) evolutionary algorithm hybrid identification model
暂未订购 下载PDF
Optimization of Multi-Vehicle Routing Problem with Time Windows and Simultaneous Pickup and Delivery 认领 引用
6
作者 Biao Wang 《Journal of Electronic Research and Application》 2025年第3期350-358,共9页
This paper addresses the Multi-Vehicle Routing Problem with Time Windows and Simultaneous Pickup and Delivery(MVRPTWSPD),aiming to optimize logistics distribution routes and minimize total costs.A vehicle routing opti... This paper addresses the Multi-Vehicle Routing Problem with Time Windows and Simultaneous Pickup and Delivery(MVRPTWSPD),aiming to optimize logistics distribution routes and minimize total costs.A vehicle routing optimization model is developed based on the operational requirements of the KS Logistics Center,focusing on minimizing vehicle dispatch,loading and unloading,operating,and time window penalty costs.The model incorporates constraints such as vehicle capacity,time windows,and travel distance,and is solved using a genetic algorithm to ensure optimal route planning.Through MATLAB simulations,34 customer points are analyzed,demonstrating that the simultaneous pickup and delivery model reduces total costs by 30.13%,increases vehicle loading rates by 20.04%,and decreases travel distance compared to delivery-only or pickup-only models.The results demonstrate the significant advantages of the simultaneous pickup and delivery mode in reducing logistics costs and improving vehicle utilization,offering valuable insights for enhancing the operational efficiency of the KS Logistics Center. 展开更多
关键词 Vehicle routing problem Time windows Multi-vehicle types Simultaneous pickup and delivery Genetic algorithm
暂未订购 下载PDF
Recursive Dictionary-Based Simultaneous Orthogonal Matching Pursuit for Sparse Unmixing of Hyperspectral Data 认领 引用 被引量：1
7
作者 Kong Fanqiang Guo Wenjun +1 位作者 Shen Qiu Wang Dandan 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2017年第4期456-464,共9页
The sparse unmixing problem of greedy algorithms still remains a great challenge at finding an optimal subset of endmembers for the observed data from the spectral library,due to the usually high correlation of the sp... The sparse unmixing problem of greedy algorithms still remains a great challenge at finding an optimal subset of endmembers for the observed data from the spectral library,due to the usually high correlation of the spectral library.Under such circumstances,a novel greedy algorithm for sparse unmixing of hyperspectral data is presented,termed the recursive dictionary-based simultaneous orthogonal matching pursuit(RD-SOMP).The algorithm adopts a block-processing strategy to divide the whole hyperspectral image into several blocks.At each iteration of the block,the spectral library is projected into the orthogonal subspace and renormalized,which can reduce the correlation of the spectral library.Then RD-SOMP selects a new endmember with the maximum correlation between the current residual and the orthogonal subspace of the spectral library.The endmembers picked in all the blocks are associated as the endmember sets of the whole hyperspectral data.Finally,the abundances are estimated using the whole hyperspectral data with the obtained endmember sets.It can be proved that RD-SOMP can recover the optimal endmembers from the spectral library under certain conditions.Experimental results demonstrate that the RD-SOMP algorithm outperforms the other algorithms,with a better spectral unmixing accuracy. 展开更多
关键词 hyperspectral unmixing greedy algorithm simultaneous sparse representation sparse unmixing
暂未订购 下载PDF
Joint eigenvalue estimation by balanced simultaneous Schur decomposition 认领 引用
8
作者 付佗 高西奇 《Journal of Southeast University(English Edition)》 EI CAS 2006年第4期445-450,共6页
The problem of joint eigenvalue estimation for the non-defective commuting set of matrices A is addressed. A procedure revealing the joint eigenstructure by simultaneous diagonalization of. A with simultaneous Schur d... The problem of joint eigenvalue estimation for the non-defective commuting set of matrices A is addressed. A procedure revealing the joint eigenstructure by simultaneous diagonalization of. A with simultaneous Schur decomposition （SSD） and balance procedure alternately is proposed for performance considerations and also for overcoming the convergence difficulties of previous methods based only on simultaneous Schur form and unitary transformations, it is shown that the SSD procedure can be well incorporated with the balancing algorithm in a pingpong manner, i. e., each optimizes a cost function and at the same time serves as an acceleration procedure for the other. Under mild assumptions, the convergence of the two cost functions alternately optimized, i. e., the norm of A and the norm of the left-lower part of A is proved. Numerical experiments are conducted in a multi-dimensional harmonic retrieval application and suggest that the presented method converges considerably faster than the methods based on only unitary transformation for matrices which are not near to normality. 展开更多
关键词 direction of arrival multi-dimensional harmonic retrieval joint eigenvalue simultaneous Schur decomposition balance algorithm
暂未订购 下载PDF
Efficient Generalized Inverse for Solving Simultaneous Linear Equations 认领 引用
9
作者 S. Kadiam Bose D. T. Nguyen 《Journal of Applied Mathematics and Physics》 2016年第1期16-20,共5页
Solving large scale system of Simultaneous Linear Equations (SLE) has been (and continue to be) a major challenging problem for many real-world engineering and science applications. Solving SLE with singular coefficie... Solving large scale system of Simultaneous Linear Equations (SLE) has been (and continue to be) a major challenging problem for many real-world engineering and science applications. Solving SLE with singular coefficient matrices arises from various engineering and sciences applications [1]-[6]. In this paper, efficient numerical procedures for finding the generalized (or pseudo) inverse of a general (squareectangle, symmetrical/unsymmetrical, non-singular/singular) matrix and solving systems of Simultaneous Linear Equations (SLE) are formulated and explained. The developed procedures and its associated computer software (under MATLAB [7] computer environment) have been based on “special Cholesky factorization schemes” (for a singular matrix). Test matrices from different fields of applications have been chosen, tested and compared with other existing algorithms. The results of the numerical tests have indicated that the developed procedures are far more efficient than the existing algorithms. 展开更多
关键词 Generalized Inverse Algorithms Simultaneous Linear Systems Matrix Inverse Singular Matrix Pseudo Inverse Cholesky Factorization
暂未订购 下载PDF
元知识辅助的小生境差分进化算法求解非线性方程组 认领 引用
10
作者 廖作文 覃慧琳 +1 位作者 谷琼 李水佳 《控制与决策》 EI CSCD 北大核心 2026年第4期1035-1043,共9页
非线性方程组的多根联解是一项具有挑战性的任务,尽管差分进化算法已被广泛应用于求解此类复杂问题,但进化过程产生的差分向量所蕴含的个体进化信息往往未被充分利用,影响了算法的性能.鉴于此,提出一种基于元知识的小生境差分进化算法.... 非线性方程组的多根联解是一项具有挑战性的任务,尽管差分进化算法已被广泛应用于求解此类复杂问题,但进化过程产生的差分向量所蕴含的个体进化信息往往未被充分利用,影响了算法的性能.鉴于此,提出一种基于元知识的小生境差分进化算法.将进化过程中生成的差分向量视为蕴含搜索经验的“元知识”,设计神经网络模型对元知识进行学习与建模,并将环境特征向量作为模型输入,精准感知个体当前所处的环境,进而提升所生成预测的差分向量,高效引导后续种群进化.同时提出两种基于元知识的变异策略,以提升算法搜索效率.实验结果表明,所提出算法能够有效实现非线性方程组的多根联解,并在找根率和成功率指标上表现优异. 展开更多
关键词 线性方程组 差分进化算法 元知识 环境感知 神经网络 多根联解
暂未订购 下载PDF
面向感知误差的鲁棒两阶段MIMO-OFDM信道估计方法 认领 引用
11
作者 彭艺 王俊 +2 位作者 杨青青 王健明 李辉 《系统仿真学报》 EI CAS CSCD 北大核心 2026年第5期1205-1223,共19页
针对ISAC(integrated sensing and communication)辅助MIMO-OFDM系统中雷达感知信息存在误差时传统信道估计方法性能恶化、导频开销大、计算复杂度高等问题,提出一种面向感知误差的鲁棒两阶段稀疏信道估计框架。第一阶段设计残差能量加... 针对ISAC(integrated sensing and communication)辅助MIMO-OFDM系统中雷达感知信息存在误差时传统信道估计方法性能恶化、导频开销大、计算复杂度高等问题,提出一种面向感知误差的鲁棒两阶段稀疏信道估计框架。第一阶段设计残差能量加权的同步正交匹配追踪算法REW-SOMP(residual energy weighted simultaneous orthogonal matching pursuit),通过局部字典自适应扩展与残差加权路径筛选机制,在感知误差下准确提取通信关联路径;第二阶段提出自适应惩罚因子交替方向乘子算法AP-ADMM(adaptive penalty factor alternating direction method of multipliers),动态平衡原始残差与对偶残差以优化信道增益估计,有效解决固定惩罚因子导致的收敛速度与精度矛盾问题。仿真结果表明:在3GPP标准信道下,导频密度仅为6.25%时,所提方法相较于传统宽带算法不仅可获得更好的NMSE性能,且在感知误差大时仍保持鲁棒性,同时显著降低了计算复杂度。 展开更多
关键词 信道估计 通感一体化 多输入多输出 正交频分复用 感知误差 同步正交匹配追踪算法 交替方向乘子算法
暂未订购 下载PDF
同时取送货场景下的电动车辆路径规划算法 认领 引用
12
作者 李晓辉 孙炜桐 +1 位作者 刘小飞 靳引利 《东北大学学报（自然科学版）》 EI CAS CSCD 北大核心 2026年第4期16-23,共8页
针对考虑电量限制的电动车辆在同时取送货场景下的路径规划问题,提出一种改进的文化基因算法.该算法采用基于极坐标的初始化方法生成初始解,引入一种最优分割方法优化解的质量,并设计多种特定的局部搜索算子提升搜索效率.同时,通过扰动... 针对考虑电量限制的电动车辆在同时取送货场景下的路径规划问题,提出一种改进的文化基因算法.该算法采用基于极坐标的初始化方法生成初始解,引入一种最优分割方法优化解的质量,并设计多种特定的局部搜索算子提升搜索效率.同时,通过扰动机制避免陷入局部最优.将所提局部算子集成到其他算法中,在小、中、大规模数据集上进行对比实验,并结合Wilcoxon符号秩检验对不同算法进行性能分析.结果表明,该算法在各项评价指标上均优于对比算法,且提出的局部搜索算子加入后算法性能显著提升,验证了其在求解优质解方面的有效性. 展开更多
关键词 车辆路径规划 同时取送货 电动汽车 文化基因算法 最优分割方法
暂未订购 下载PDF
低碳视角下带软时间窗的同时取送货车辆路径问题研究 认领 引用
13
作者 何美玲 杨梅 武晓晖 《江苏大学学报（自然科学版）》 CAS 北大核心 2026年第3期283-291,共9页
为有效地协调正逆向物流,响应国家大力发展低碳经济的号召,以带软时间窗的同时取送货车辆路径问题(VRPSPDSTW)为研究对象,综合考虑车辆速度、装载质量等因素对碳排放的影响,构建了以车辆固定成本、运输成本、碳排放成本及时间窗惩罚成... 为有效地协调正逆向物流,响应国家大力发展低碳经济的号召,以带软时间窗的同时取送货车辆路径问题(VRPSPDSTW)为研究对象,综合考虑车辆速度、装载质量等因素对碳排放的影响,构建了以车辆固定成本、运输成本、碳排放成本及时间窗惩罚成本之和为目标函数的数学模型,并设计了一种改进蚁群算法(IACO)对模型进行求解,最后通过算例计算验证了算法的有效性与模型的合理性.计算结果表明:在某些算例中,使用IACO求解得到的配送方案的行驶距离较对比算法有所缩短,其中最高节省了10.73%的路程;在RCdp5001改编算例中,将同时取送货模式与单取单送模式进行比较,前者配送方案的总成本降幅达50.20%;对比考虑和未考虑碳排放因素的VRPSPDSTW模型得出的配送方案,前者的行驶距离缩短了3.16%,总配送成本降低了1.53%,碳排放量减少了4.56%. 展开更多
关键词 车辆路径问题 同时取送货 软时间窗 碳排放 改进蚁群算法
暂未订购 下载PDF
基于稀疏邻接注意力的图像分割算法 认领 引用
14
作者 寇志伟 孔哲 +2 位作者 耿玉龙 崔啸鸣 齐咏生 《科学技术与工程》 EI 北大核心 2026年第6期2464-2473,共10页
语义同步定位与地图构建(simultaneous localization and mapping,SLAM)能够帮助移动机器人实现对未知环境更高层次的语义信息感知,已经成为解决移动机器人适应未来发展的关键技术之一。针对移动机器人在弱纹理、存在动态物体的未知境... 语义同步定位与地图构建(simultaneous localization and mapping,SLAM)能够帮助移动机器人实现对未知环境更高层次的语义信息感知,已经成为解决移动机器人适应未来发展的关键技术之一。针对移动机器人在弱纹理、存在动态物体的未知境下环境感知能力弱的问题,提出了一种基于稀疏邻接注意力的图像分割算法(SNA-Seg)。首先,设计了基于稀疏邻接窗口自注意机制的全景分割网络结构,在不增加计算复杂度的前提下,充分挖掘全局信息,增强了网络对边缘细节的分割效果。其次,选取Cityscapes数据集作为训练与测试数据集,采用全景质量(panoptic quality,PQ)、分割质量(segmentation quality,SQ)和平均交并比(mIoU)等指标对算法性能进行了评估,并且采集本地视觉图像数据验证了算法的实际有效性。实验结果表明,SNA-Seg算法与基于滑窗注意力(Swin)和邻接注意力(NA)图像分割算法比较,各项评价指标均有不同程度的提升,其中mIoU指标提升幅度达到了11.17%,反映了掩膜分类准确性提升最为显著;在实例分割任务中,SNA-Seg算法展现出更高的分割精度,其输出掩膜与原始图像在边缘细节和语义类别上一致性较强,分割结果更加符合真实场景的语义结构。本文方法为语义SLAM中的全景图像分割任务提供了新的技术思路。 展开更多
关键词 语义SLAM 稀疏邻接注意力 图像分割 语义信息感知 SNA-Seg算法
暂未订购 下载PDF
考虑同时取送货的卡车和无人机协同路径规划研究 认领 引用
15
作者 彭会萍 张延慧 贺羿萱 《河南科技学院学报（自然科学版）》 2026年第3期45-53,共9页
目的 为解决传统以地面车辆为主的配送模式存在的交通拥堵、配送线路冗余问题,提出运用改进遗传算法优化考虑同时取送货的卡车和无人机协同配送路径.方法 运用贪婪算法产生初始解,利用改进遗传算法优化卡车路径,依据卡车路径生成卡车与... 目的 为解决传统以地面车辆为主的配送模式存在的交通拥堵、配送线路冗余问题,提出运用改进遗传算法优化考虑同时取送货的卡车和无人机协同配送路径.方法 运用贪婪算法产生初始解,利用改进遗传算法优化卡车路径,依据卡车路径生成卡车与无人机的协同配送路径.结果 通过构建包含20个配送节点的案例验证,与传统遗传算法相比,所设计的改进遗传算法求解性能更优.在配送成本方面,车辆与无人机协同配送相较于单独车辆配送降低了7.15%.结论 改进后的遗传算法相比传统遗传算法,提升了搜索效率,有效降低了配送成本.考虑同时取送货因素后,物流无人机路径规划更贴近实际场景,为物流末端配送提供创新性的解决方案. 展开更多
关键词 同时取送货 协同配送 路径规划 低空经济 遗传算法
暂未订购 下载PDF
基于改进SA算法的校园无人机物流路径优化 认领 引用
16
作者 黄晋 高震 +1 位作者 赵隆懿 李欣洋 《舰船电子工程》 2026年第6期71-74,119,共4页
随着无人机技术的快速发展,校园物流无人机成为提高校园物流效率和减少人力成本的有效途径,论文提出了一种基于改进SA算法的校园物流无人机同时取送货路径规划方法,通过引入历史最优解besty和划分温区作为改进搜索全局最优解,旨在优化... 随着无人机技术的快速发展,校园物流无人机成为提高校园物流效率和减少人力成本的有效途径,论文提出了一种基于改进SA算法的校园物流无人机同时取送货路径规划方法,通过引入历史最优解besty和划分温区作为改进搜索全局最优解,旨在优化无人机路径规划的效率。通过仿真实验结果表明,改进后的算法不仅能明显提高规划效率而且能够有效地对无人机配送路径长度进行优化。 展开更多
关键词 校园物流 无人机 同时取送货 路径规划 改进模拟退火算法
暂未订购 下载PDF
考虑同时取送货的多无人机协同路径规划 认领 引用
17
作者 彭会萍 张延慧 贺羿萱 《兰州工业学院学报》 2026年第2期95-100,共6页
针对农村物流无人机路径规划问题,构建了以无人机固定成本和无人机变动成本最小为目标的考虑同时取送货的物流无人机路径规划模型,利用改进遗传算法对该模型进行求解。通过实例验证了算法的可行性,相较于传统的遗传算法,设计的算法具有... 针对农村物流无人机路径规划问题,构建了以无人机固定成本和无人机变动成本最小为目标的考虑同时取送货的物流无人机路径规划模型,利用改进遗传算法对该模型进行求解。通过实例验证了算法的可行性,相较于传统的遗传算法,设计的算法具有良好的求解性能,且考虑同时取送货后,物流无人机路径规划问题更贴合实际,为物流末端取送提供了新的解决方案。 展开更多
关键词 多无人机 路径规划 同时取送货 遗传算法
暂未订购 下载PDF
具有同时到达约束的多无人机任务规划 认领 引用 被引量：3
18
作者 任斯远 王松 +2 位作者 陈功 邓晨 潘正宵 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2026年第2期453-462,共10页
针对无人机(UAV)集群执行任务的问题,考虑无人机任务分配和航迹规划相互耦合的特性及禁飞区约束,提出一种能使无人机群以最短时间同时到达目标位置的任务规划算法。该算法通过Dubins曲线规划路径,使用引入粒子群变异的改进粒子群优化(P... 针对无人机(UAV)集群执行任务的问题,考虑无人机任务分配和航迹规划相互耦合的特性及禁飞区约束,提出一种能使无人机群以最短时间同时到达目标位置的任务规划算法。该算法通过Dubins曲线规划路径,使用引入粒子群变异的改进粒子群优化(PSO)算法对任务分配方案进行优化;采用“盘旋等待+动态速度调整”的方法同步各无人机到达目标时间;在基于无人机六自由度动力学模型和动态逆控制模型的仿真环境中对所提算法有效性进行评估验证。仿真结果表明:相比传统PSO算法,改进的PSO算法能够有效跳出局部最优,获得更优的分配方案;在所提算法的控制下,多无人机间飞行时间最大偏差仅有0.5%,满足饱和打击要求。 展开更多
关键词 多无人机 粒子群优化算法 同时到达 航迹规划 航迹跟踪 Dubins曲线
暂未订购 下载PDF
基于多策略改进长鼻浣熊算法优化的粒子滤波算法 认领 引用
19
作者 朱新宇 孙雅茹 +1 位作者 詹宇成 李哲宇 《智能计算机与应用》 2026年第2期55-63,共9页
针对传统粒子滤波算法在同步定位与建图任务中存在的粒子退化、多样性缺失及收敛精度不足等问题,本文提出一种基于改进长鼻浣熊优化的粒子滤波算法。在传统的长鼻浣熊算法的基础上,采用Circle混沌映射替代传统随机初始化方式,有效打破... 针对传统粒子滤波算法在同步定位与建图任务中存在的粒子退化、多样性缺失及收敛精度不足等问题,本文提出一种基于改进长鼻浣熊优化的粒子滤波算法。在传统的长鼻浣熊算法的基础上,采用Circle混沌映射替代传统随机初始化方式,有效打破初始局部聚集现象,显著提升种群在状态空间探索的均匀性;通过在位置更新阶段中设置自适应权重根据迭代进程动态调整探索半径,平衡全局与局部探索能力;最后引入精英引导-柯西扰动协同机制,利用精英粒子信息指引搜索方向并结合柯西扰动的长跳跃特性,有效引导粒子群跳出局部最优区域并增强多样性,缓解粒子退化和样本贫化。实验结果表明,改进的算法在提升粒子多样性的同时、又提高了系统状态估计精度,相对于传统粒子滤波算法,具有更好的鲁棒性,应用于SLAM算法中,能够降低因粒子多样性缺失导致的定位误差累积,避免位姿估计发散;同时,通过稳定的位姿估计反馈,提升地图构建的全局一致性,显著增强SLAM算法的鲁棒性与可靠性。 展开更多
关键词 粒子滤波 长鼻浣熊优化算法 混沌映射初始化 自适应惯性权重 精英引导 柯西扰动 SLAM
暂未订购 下载PDF
The Improved Simulated Annealing Algorithm and Application in the Surface Wave Dispersion Inversion 认领 引用 被引量：1
20
作者 ZHANG Xuemei YANG Zhigao +7 位作者 SHI Haixia DU Guangbao YANG Wen WEI Xing HAN Yanyan LI Fei HUANG Zhibin LIU Jie 《Earthquake Research in China》 CSCD 2019年第3期391-402,共12页
The velocity distribution of layers from surface wave dispersion curve is a severely nonlinear program. Base on the Metropolis rule,we improved the simulated annealing algorithm to simultaneously inverse the velocitie... The velocity distribution of layers from surface wave dispersion curve is a severely nonlinear program. Base on the Metropolis rule,we improved the simulated annealing algorithm to simultaneously inverse the velocities and thicknesses using the dispersion data and identified the Moho and the bottom of lithosphere. The application to the numerical examples with 5% noise shows the velocity RMS is 1. 56% between the non-linear results and the original models when the condition of selecting method for temperature parameters and initial temperature are satisfied. Using the pure dispersions of Rayleigh wave,the nonlinear inversion has been carried out for S-wave velocities and thicknesses of the vertical profile crossing the Indian Plate,the Qinghai-Tibetan Plateau,and the Tarim Basin. It indicated that the crustal thickness is about 70 km in the Qiangtang block,while in the hinterland of the Qinghai-Tibetan Plateau the lithosphere is relatively thin(~ 130 km)from the velocity values and their offsets. 展开更多
关键词 Simulated annealing algorithm Simultaneous inversion Dispersion curve Reconstruction of velocity model
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 18 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈