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欧氏空间R^n中求一类容积问题的矩阵分析方法
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作者 罗石麟 唐晓兵 张小水 《空军工程大学学报(自然科学版)》 CSCD 2004年第1期89-91,共3页
由组合拓扑学可知,任意凸多面体均为若干个单纯形的某种组合,两者均为规划论中最重要的基本概念之一,因而在一些计算中对其求积是不可少的。对此,本文提出一个基于矩阵分析的容积计算方法,并举例说明该方法可用于求解欧氏空间中一类容... 由组合拓扑学可知,任意凸多面体均为若干个单纯形的某种组合,两者均为规划论中最重要的基本概念之一,因而在一些计算中对其求积是不可少的。对此,本文提出一个基于矩阵分析的容积计算方法,并举例说明该方法可用于求解欧氏空间中一类容积问题。 展开更多
关键词 单纯形 凸多面体 欧氏空间 矩阵分析方法 容积问题 组合拓扑学 线性规划
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两类柱体无盖容器容积最大问题——从一道高考题谈起 被引量:1
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作者 鞠锡田 薛学军 《高中数理化》 2006年第4期18-19,共2页
关键词 高考 数学 表面积 春季招生 全国卷 柱体 无盖容器 容积最大问题
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智能优化算法求解车辆路径问题的对比分析
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作者 李京忱 刘春 《价值工程》 2023年第2期161-165,共5页
利用智能优化算法解决车辆路径问题(VRP)是组合优化领域的一个研究热点。论文介绍了蚁群算法,粒子群算法和模拟退火算法的算法原理和求解流程,选用了Solomon数据集的三种不同客户规模,通过利用python编制程序对三种智能优化算法的求解... 利用智能优化算法解决车辆路径问题(VRP)是组合优化领域的一个研究热点。论文介绍了蚁群算法,粒子群算法和模拟退火算法的算法原理和求解流程,选用了Solomon数据集的三种不同客户规模,通过利用python编制程序对三种智能优化算法的求解性能进行了测试。研究表明粒子群算法对各规模CVRP问题求解的效果均不尽人意;模拟退火算法在中小规模时算法求得最优解能力更好,蚁群算法求解大、中、小规模CVRP问题的综合评价最高。研究结果对于带容积限制的车辆路径问题的算法选择具有一定的参考价值。 展开更多
关键词 容积限制车辆路径问题 粒子群算法 模拟退火算法 蚁群算法
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Robust range-parameterized cubature Kalman filter for bearings-only tracking 被引量:9
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作者 吴昊 陈树新 +1 位作者 杨宾峰 罗玺 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第6期1399-1405,共7页
In order to improve tracking accuracy when initial estimate is inaccurate or outliers exist,a bearings-only tracking approach called the robust range-parameterized cubature Kalman filter(RRPCKF)was proposed.Firstly,th... In order to improve tracking accuracy when initial estimate is inaccurate or outliers exist,a bearings-only tracking approach called the robust range-parameterized cubature Kalman filter(RRPCKF)was proposed.Firstly,the robust extremal rule based on the pollution distribution was introduced to the cubature Kalman filter(CKF)framework.The improved Turkey weight function was subsequently constructed to identify the outliers whose weights were reduced by establishing equivalent innovation covariance matrix in the CKF.Furthermore,the improved range-parameterize(RP)strategy which divides the filter into some weighted robust CKFs each with a different initial estimate was utilized to solve the fuzzy initial estimation problem efficiently.Simulations show that the result of the RRPCKF is more accurate and more robust whether outliers exist or not,whereas that of the conventional algorithms becomes distorted seriously when outliers appear. 展开更多
关键词 bearings-only tracking NONLINEARITY cubature Kalman filter numerical integration equivalent weight function
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Neighbour Peer Selection Scheme Based on Effective Capacity for Mobile Peer-to-Peer Streaming
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作者 夏海轮 王宁 曾志民 《China Communications》 SCIE CSCD 2013年第5期89-98,共10页
For Peer-to-Peer (P2P) streaming services in mobile networks, the selection of appropriate neighbour peers from candidate peers with demanding data is an important approach to improve Quality-of-Service (QoS). This pa... For Peer-to-Peer (P2P) streaming services in mobile networks, the selection of appropriate neighbour peers from candidate peers with demanding data is an important approach to improve Quality-of-Service (QoS). This paper proposes a novel Effective Capacity Peer Selection (ECPS) scheme based on effective capacity. In the ECPS scheme, the neighbour peer selection problem was modeled using the Multiple Attribute Decision Making (MADM) theory, which considered multiple factors of candidate peers, including Signal to Interference and Noise Ratio (SINR), residency time, power level, security, moving speed, and effective capacity. This model could increase the suitability of ECPS for wireless mobile environments. Then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to solve the MADM problem and identify the preferred neighbour peers. Simulation results show that the ECPS scheme can improve the network throughput, reduce packet delay by about 82%, and almost double the packet delivery ratio of the mobile P2P streaming service. 展开更多
关键词 P2P mobile P2P streaming peer selection effective capacity MADM QoS
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