In this paper, we discuss the mixture model of two extreme lower bound distributions. First, some properties we obtain of the model with hazard function are discussed. In addition, the estimates of the unknown paramet...In this paper, we discuss the mixture model of two extreme lower bound distributions. First, some properties we obtain of the model with hazard function are discussed. In addition, the estimates of the unknown parameters via the EM algorithm are obtained. The performance of the findings in the paper is showed by demonstrating some numerical illustrations through Monte Carlo simulation.展开更多
Aiming at the flexible flowshop group scheduling problem,taking sequence dependent setup time and machine skipping into account, a mathematical model for minimizing makespan is established,and a hybrid differential ev...Aiming at the flexible flowshop group scheduling problem,taking sequence dependent setup time and machine skipping into account, a mathematical model for minimizing makespan is established,and a hybrid differential evolution( HDE) algorithm based on greedy constructive procedure( GCP) is proposed,which combines differential evolution( DE) with tabu search( TS). DE is applied to generating the elite individuals of population,while TS is used for finding the optimal value by making perturbation in selected elite individuals. A lower bounding technique is developed to evaluate the quality of proposed algorithm. Experimental results verify the effectiveness and feasibility of proposed algorithm.展开更多
现有无源定位闭式算法均考虑视距(Line of Sight,LOS)环境,无法直接应用于存在遮挡的城市环境低空无人机目标定位等场景,同时,非视距(Non-Line of Sight,NLOS)优化定位算法计算效率较低。针对这些问题,本文开展中继辅助下的单站目标定...现有无源定位闭式算法均考虑视距(Line of Sight,LOS)环境,无法直接应用于存在遮挡的城市环境低空无人机目标定位等场景,同时,非视距(Non-Line of Sight,NLOS)优化定位算法计算效率较低。针对这些问题,本文开展中继辅助下的单站目标定位研究,通过引入中继收发器对目标信号进行转发,构造两条路径从而规避遮挡问题,同时考虑中继和观测站位置存在随机误差,提出了一种闭式算法来确定未知目标位置。该算法分为3个步骤:首先利用校准目标-中继收发器-观测站这一路径的额外信息,修正中继和观测站位置;随后基于未知目标-中继收发器-观测站获取的观测信息,通过引入额外变量的方式构建伪线性方程,利用加权最小二乘技术给出目标位置粗略估计;最后进一步挖掘目标位置与额外变量的非线性关系,再次构建矩阵方程并给出目标位置最终估计解。经过理论剖析与仿真验证,所提出的算法在可接受的测量误差和观测站点位置误差范围内,能够逼近克拉美罗下界(Cramer-Rao Lower Bound,CRLB)。展开更多
文摘In this paper, we discuss the mixture model of two extreme lower bound distributions. First, some properties we obtain of the model with hazard function are discussed. In addition, the estimates of the unknown parameters via the EM algorithm are obtained. The performance of the findings in the paper is showed by demonstrating some numerical illustrations through Monte Carlo simulation.
基金Shanghai Municipal Natural Science Foundation of China(No.10ZR1431700)
文摘Aiming at the flexible flowshop group scheduling problem,taking sequence dependent setup time and machine skipping into account, a mathematical model for minimizing makespan is established,and a hybrid differential evolution( HDE) algorithm based on greedy constructive procedure( GCP) is proposed,which combines differential evolution( DE) with tabu search( TS). DE is applied to generating the elite individuals of population,while TS is used for finding the optimal value by making perturbation in selected elite individuals. A lower bounding technique is developed to evaluate the quality of proposed algorithm. Experimental results verify the effectiveness and feasibility of proposed algorithm.
文摘现有无源定位闭式算法均考虑视距(Line of Sight,LOS)环境,无法直接应用于存在遮挡的城市环境低空无人机目标定位等场景,同时,非视距(Non-Line of Sight,NLOS)优化定位算法计算效率较低。针对这些问题,本文开展中继辅助下的单站目标定位研究,通过引入中继收发器对目标信号进行转发,构造两条路径从而规避遮挡问题,同时考虑中继和观测站位置存在随机误差,提出了一种闭式算法来确定未知目标位置。该算法分为3个步骤:首先利用校准目标-中继收发器-观测站这一路径的额外信息,修正中继和观测站位置;随后基于未知目标-中继收发器-观测站获取的观测信息,通过引入额外变量的方式构建伪线性方程,利用加权最小二乘技术给出目标位置粗略估计;最后进一步挖掘目标位置与额外变量的非线性关系,再次构建矩阵方程并给出目标位置最终估计解。经过理论剖析与仿真验证,所提出的算法在可接受的测量误差和观测站点位置误差范围内,能够逼近克拉美罗下界(Cramer-Rao Lower Bound,CRLB)。
