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检索条件"机构=Science and Technology on Complex System Simulation Laboratory"

共 2042 条记录，以下是261-270 订阅

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Multi-View Subspace Clustering Via Simultaneously Cycle Projection and Similarity Learning 21

Multi-View Subspace Clustering Via Simultaneously Cycle Proj...

引用

21st International Computer Conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2024

作者： Tao, Xiang Jie, Liu Wenshen, Qiao Siying, Xiao Mao, Ye Southwest China Institute of Electronic Technology National Key Laboratory of Complex Aviation System Simulation Chengdu610036 China University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798331519254

At present, most of the existing methods combine the data from different views mechanically to obtain the latent subspace with complementary information, which not only fails to make full use of the data information from specific perspectives but also brings redundancy. Therefore, we propose a novel multi-view subspace clustering method. It utilizes cycle projection to obtain a subspace construction model. At the same time, by learning the global structure and local manifold structure of this subspace while assigning learnable weights to different views, the consensus information among views and specific information from different views are captured according to the importance of different views. In this way, our method effectively reduces the original noise and redundancy, and further carries out the improvement of complementarity and consistency among views. The proposed method is optimized by using the Augmented Lagrangian Multiplier with Alternating Direction Minimization (ALM- ADM) algorithm. Experiment results on benchmark datasets confirm the effectiveness of our method. © 2024 IEEE.

关键词： Contrastive Learning

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The simulation of cluster bombs’ damage efficiency and analysis of damage factor

The simulation of cluster bombs’ damage efficiency and anal...

引用

International Conference on Future Communication technology and Engineering, FCTE 2014

作者： Liu, S. Zhao, X.J. Zhao, F. Wei, X. Li, W.F. Science and Technology on Complex Land Systems Simulation Laboratory Beijing China Chinese Defense Science and Technology Information Centre Beijing China

ISBN: (纸本)9781138027770

First, the paper emulated cluster bombs’random point of fall, the radius of damage of the bombs, drew the bombs’ damage range, and counted the damage effect. The final damage efficiency of cluster bombs was calculated and the influence from each damage factor of the cluster bombswas studied through many random experiences. The method solved the tough problem of the precise calculation of damage efficiency, which was caused by the overlapped damage size. © 2015 Taylor & Francis Group, London.

关键词： Efficiency

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A Many-Objective Algorithm with Threshold Elite Selection Strategy 11th

A Many-Objective Algorithm with Threshold Elite Selection St...

引用

11th International Symposium on Intelligence Computation and Applications, ISICA 2019

作者： Geng, Shaojin Wu, Di Wang, Penghong Cai, Xingjuan Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9789811555763

The study of many-objective evolutionary algorithm (MaOEA) has become particularly important, especially with the increasing complex engineering optimization problems. Considering that the convergence and diversity of the population are two important indicators to measure the performance of the algorithm, a many-objective evolutionary algorithm with threshold elite selection strategy (MaOEA-TES) are proposed in this paper. The algorithm adopts the balanceable fitness estimation strategy and the reference-point based non-dominated sorting strategy to balance the convergence and diversity of the solution. An adaptive penalty distance boundary intersection strategy is designed to dynamically adjust the impact of convergence and diversity on the algorithm. In addition, a dynamic threshold selection strategy is proposed to ensure that the algorithm emphasizes diversity at an early stage, emphasizes convergence at a later stage, and ensures that the result is closer to the real non-dominant front. The DTLZ test suite is used to evaluate the performance of MaOEA-TES. The experimental results show that the MaOEA-TES has the best performance comparing with three other state-of-the-art algorithms on many-objective optimization. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Evolutionary algorithms

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Static Unstable STT Overload Control on High-order Fully Actuated system Theory 6

Static Unstable STT Overload Control on High-order Fully Act...

引用

6th International Symposium on Autonomous systems, ISAS 2023

作者： Liu, Xinyu Hao, Mingrui Zhen, Yan Fan, Yu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350316155

This article proposes a joint overload controller for pitch and yaw channels on the high-order fully actuated system theory for a nonlinear lateral and longitudinal static unstable STT aircraft model. Firstly, a second-order fully actuated system model for aircraft overload was derived, and an optimal control method for lateral and longitudinal overload was designed. Through mathematical simulation verification of this controller and traditional PID controller, it is shown that the PID control method has significant shortcomings in nonlinear aircraft with coupling. However, high-order fully actuated system theory control method can better adapt to nonlinear and static instability problems, achieve stable tracking of aircraft overload commands, and have better rapidity. © 2023 IEEE.

关键词： system theory

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The way to analysis of spatial association

The way to analysis of spatial association

引用

2013 International Conference on Vehicle and Mechanical Engineering and Information technology, VMEIT 2013

作者： Guo, Jing Liu, De Sheng Guo, Qin Science and Technology on Complex Electronic System Simulation Laboratory The Academy of Equipment Huairou Beijing China School of Humanities and Social Sciences National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9783037858202

Following the continual development and maturation of the technology of association analysis, it can be used to mine the relation between spatial data. The paper introduced definition and classification of association analysis technology. It analyses the spatial Association from physics layer, link layer and act layer. Based on above, it provides the process of association analysis about spatial data. © (2013) Trans Tech Publications, Switzerland.

关键词： Data mining

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A multi-objective localization algorithm with real average distance in WSN 21

A multi-objective localization algorithm with real average d...

引用

21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data science and systems, HPCC/SmartCity/DSS 2019

作者： Wang, Penghong Du, Lei Cui, Zhihua Cai, Xingjuan Xie, Liping Complex System and Computational Intelligence Laboratory TaiYuan University of Science and Technology Taiyuan China

ISBN: (纸本)9781728120584

Location information is an essential requirement in wireless sensor networks (WSN), many wireless sensor applications would be limited without location information. Distance vector-hop (DV-Hop), as a typical path-dependence algorithm, utilizes the connectivity and multi-hop transmission for estimated positioning. However, a large positioning error is caused because of its simple and rough estimated method. In this work, we analyze the defects of the existing traditional single-objective and multi-objective model based on DV-Hop algorithm, and provide a multi-objective localization model based on the real average estimated distance of all beacon nodes. Then, we solve it using the multi-objective optimization algorithm (NSGA-II), and named it RAMGA-DV-Hop. Eventually, we tested it with different aspects, and the simulation results confirm our method significantly outperforms the DV-Hop and OCS-LC-DV-Hop. Moreover, compare with existing multi-objective localization algorithms, such as NSGAII-DV-Hop, its overall performance also has advantages. © 2019 IEEE.

关键词： Wireless sensor networks

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Review of Formation Control and Cooperative Guidance technology of Multiple Unmanned Aerial Vehicles

Review of Formation Control and Cooperative Guidance Technol...

引用

International Conference on Guidance, Navigation and Control, ICGNC 2022

作者： Liu, Xinyu Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789811966125

Aiming at the research status of formation control and cooperative guidance technology of multi unmanned aircrafts, this paper introduces various methods of formation control technology and cooperative guidance technology. It also expounds the characteristics of formation control methods such as graph theory, leader-follower formation, behavior strategy, virtual structure, artificial potential field mode and consistency mode, as well as independent, centralized and distributed cooperative guidance methods. Then the application status and technical development of intelligent methods in multi vehicles formation control and cooperative guidance are introduced. At the same time, this paper compares the advantages and problems of various methods, and prospects the future development direction of this field. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Graph theory

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A parallel computing optimization algorithm based on many-objective 21

A parallel computing optimization algorithm based on many-ob...

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作者： Wu, Di Zhang, Jiangjiang Geng, Shaojin Ren, Yeqing Cai, Xingjuan Zhang, Guoyou Complex System and Computational Intelligence Laboratory TaiYuan University of Science and Technology Taiyuan China

ISBN: (纸本)9781728120584

It is difficult for many-objective optimization problem to solve the problem of excessive consumption time effectively and maintain the balance of convergence and distribution of the solution. Aiming at this problem, a manyobjective parallel optimization based on external archive is proposed. The main idea is to design a many-objective selection mechanism penalty-based boundary intersection to enhance the selection pressure of the algorithm. Then an external archive is established to store the solution of convergence and diversity and guide the population towards evolve to the real pareto front. At the same time, in order to reinforce the diversity of the population, evolutionary search is further run on external archive. In addition, the idea of parallel is established to optimize the time. To test the performance of the algorithm, the algorithm is applied to some benchmark problems with 4-15 objectives and compared against other state-of-the-art algorithms. The simulation results demonstrate that the algorithm can effectively guarantee the convergence and diversity of solutions and shorten the time. © 2019 IEEE.

关键词： Benchmarking

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Collaborative Estimation of Multi-source Heterogeneous Moving Sensors for UAV Cluster 5th

Collaborative Estimation of Multi-source Heterogeneous Movin...

引用

5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021

作者： Yang, Xiangyu Song, Chuang Chen, Linxiu Hao, Mingrui Zhang, Hang Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789811939976

In the cooperative combat mission of UAV cluster, the collaborative estimation of targets by airborne multi-source heterogeneous sensors can make the utmost of the multivariate detection performance of moving sensors placed in multiple spatial positions in complex confrontation environments, in order to deal with the problem of independent estimation failure of sensors carried by single aircraft under the multiple compound interference of non-cooperative targets. In this paper, the typical target motion model, estimation model and interference model are established, then a collaborative estimation method of airborne target detection sensors with different detection accuracy and different interference countermeasure capability is designed for each aircraft in the UAV cluster, based on spatial allocation strategy, nonlinear filtering, interference detection, consistency correlation and information fusion. It is verified by Monte Carlo simulation study that this method can guarantee the obtainment of continuous and accurate guidance information for each aircraft in the cluster, so as to improve the strike accuracy of each UAV and complete the strike mission. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Group search optimizer with interactive dynamic neighborhood

Group search optimizer with interactive dynamic neighborhood

引用

3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011

作者： He, Guohua Cui, Zhihua Zeng, Jianchao Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9783642238956

Group search optimizer(GSO) is a new novel optimization algorithm by simulating animal behaviour. It uses the Gbest topology structure, which leads to rapid exchange of information among particles. So,it is easily trapped into a local optima when dealing with multi-modal optimization problems. In this paper,inspiration from the Newman and Watts model,a improved group search optimizer with interactive dynamic neighborhood (IGSO) is proposed. Adopting uniform design and the linear regression method on the parameter selection, four benchmark functions demonstrate the effectiveness of the algorithm. © 2011 Springer-Verlag.

关键词： Network topology

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