检索结果-内蒙古大学图书馆

An effective soft computing technology based on belief-rule-base and particle swarm optimization for tipping paper permeability measurement

引用

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2019年第3期10卷 841-850页

作者： Qian, Bin Wang, Qian-Qian Hu, Rong Zhou, Zhi-Jie Yu, Chuan-Qiang Zhou, Zhi-Guo Kunming Univ Sci & Technol Coll Informat Engn & Automat Dept Automat Kunming 650500 Yunnan Peoples R China Rocket Force Univ Engn Xian 710025 Shanxi Peoples R China High Tech Inst Xian Xian 710025 Shanxi Peoples R China Univ Texas Southwestern Med Ctr Dallas Dept Radiat Oncol Dallas TX 75235 USA

This paper proposes a soft computing technology based on belief rule base (BRB) system for the tipping paper permeability measurement in tobacco factory. In current studies about BRB, both the referential values of the antecedent attributes and the utilities of the consequents are given in advance and are not trained by using the dedicated optimal algorithms. The limitations of expert knowledge may lead to error of BRB because both the referential values and the utilities make a real difference on the structure of BRB, and the appropriate structure is helpful for tuning parameters more accurately. Therefore, this paper focuses on the structure and parameters optimization of BRB (SPO-BRB) by taking the referential values of the antecedent attributes and the utilities of the consequents into account to improve the input-output modeling ability of BRB. However, SPO-BRB is a nonlinear nonconvex optimization problem (NNOP). To deal with the NNOP of SPO-BRB, a particle swarm optimization algorithm with improved velocity update way and repair methods (PSO_VR) is proposed. A case study based on the data collected from a tobacco factory of china is carried out. The test results demonstrate the functionality of SPO-BRB and the effectiveness of PSO_VR.

关键词： Soft computing technology Belief rule base Parameter and structure identification particle swarm optimization algorithm Porosity measuring

来源：评论

学校读者我要写书评

暂无评论

Logistics Distribution Location Based on particle swarm optimization algorithm

Logistics Distribution Location Based on Particle Swarm Opti...

引用

World Automation Congress (WAC)

作者： Chen, Xichun Wang, Junli Lanzhou Jiaotong Univ Sch Traff & Transportat Engn Lanzhou 730070 Peoples R China Gansu Prov Supervis & Inspect Ctr Product Qual Lanzhou Peoples R China

ISBN: (纸本)9781467344975

The aim of logistics distribution center location is to improve the logistics service quality and reduce the transportation cost of goods. The problems are related to both the classical location problem and the vehicle routing problem. This paper proposes logistics distribution center location based on particle swarm optimization algorithm. It models the logistics distribution center location problem considering the user demand and operating cost, then it uses modified particle swarm optimization algorithm to give solution. Experimental result shows that the proposed model and algorithm is effective.

关键词： distribution center location particle swarm optimization algorithm optional point

来源：评论

学校读者我要写书评

暂无评论

particle swarm optimization-Based Deep Neural Network for Digital Modulation Recognition

引用

IEEE ACCESS 2019年 7卷 104591-104600页

作者： Shi, Wenzhe Liu, Dejun Cheng, Xing Li, Yang Zhao, Yang China Univ Petr Coll Informat Sci & Engn Beijing 102249 Peoples R China

Modulation recognition is a major task in many wireless communication systems including cognitive radio and signal reconnaissance. The diversification of modulation schemes and the increased complexity of the channel environment put higher requirements on the correct identification of modulated signals. Deep learning (DL) is considered as a potential solution to solve these problems due to the superior big data processing and classification capabilities. This paper proposes an efficient digital modulation recognition method based on deep neural network (DNN) model. Furthermore, we present the particle swarm optimization (PSO) algorithm to optimize the number of hidden layer nodes of the DNN so as to solve the problem that the traditional DNN is trapped in local minimum values and the number of hidden layer nodes needs selecting manually. In this paper, we utilize the proposed PSO-DNN method to learn characteristics extracted from the modulated signal added by additive white Gaussian noise (AWGN) and to train the network, which can improve the performance of recognition under the condition of low signal-to-noise ratio (SNR). The experimental results demonstrate that the recognition rate on this algorithm has improved by 9.4% and 8.8% compared with methods that adopt conventional DNN and support vector machine (SVM) when SNR equals 0 and 1 dB, respectively. Besides, another experiment compared with the genetic algorithm (GA) also proves that our proposed algorithm is more effective in optimizing the DNN. The proposed method is easy to be implemented so that it has a broad development prospect in modulation recognition.

关键词： Additive white Gaussian noise deep neural network digital modulation recognition particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

General metaheuristic-based methodology for computation and decomposition of LMPs

引用

ELECTRICAL ENGINEERING 2021年第2期103卷 793-811页

作者： Saraiva, Felipe Oliveira Silva Paucar, Vicente Leonardo Fed Univ Maranhao UFMA Dept Elect Engn BR-65085580 Sao Luis MA Brazil

Locational marginal prices (LMPs) are economic signals paramount to the deliberations, policy designs, and planning judgments of most electricity markets. This paper presents a general metaheuristic-based methodology applied in the scope of two subproblems to compute and decompose the LMPs considering the incorporation of a distributed slack bus model in the power flow formulation. The deterministic core of the methodology is governed by a process of sequential setting of maximum number of metaheuristic iterations based on load disharmony indices (LDIs) in the context of the initial subproblem. The metaheuristic crux of the methodology is anchored in a random initialization strategy based on time-traveling parameters in the environment of both subproblems. In the introductory arrangement of the optimization sequence, the chain order of the operating horizon periods is defined based on the LDIs. Due to its notorious merits and the breadth of its applications in power system problems, a particle swarm optimization (PSO) algorithm model is used to solve the mentioned subproblems. For the practical purposes of this paper, in the PSO algorithm model instance the particle coordinates are adopted as time-traveling metaheuristic parameters. Numerical simulations on a 3-bus system and on the IEEE 30-bus test system corroborate the efficiency and adequacy of the proposed methodology.

关键词： Electricity market LMP decomposition Load disharmony index Locational marginal price particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Techno-economic Unified OPF Modeling for VSC-HVDC Converter Installation

ELECTRICA

引用

ELECTRICA 2021年第3期21卷 352-+页

作者： Agrawal, Sunilkumar Kundu, Prasanta SV Natl Inst Technol Dept Elect Engn Surat India

This paper demonstrates the analysis of novel methodology developed to select optimal buses for installation of convertor stations in the hybrid voltage source converter based high voltage direct current system. Here, a modified unified optimal power flow model is developed for the optimal power flow problem and solved using the particle swarm optimization technique for the voltage source converter based high voltage direct current network. The analysis has been performed for optimizing the various techno-economic objective functions, including generation cost, voltage deviation, and total power system losses, for better power system operation. The developed unified optimal power flow model's effectiveness and methodology for deciding the high voltage direct current converter's optimal location are examined, with several tests performed with modified five bus and IEEE-30 bus system. The impact of high voltage direct current line replacement is decided based on optimal results obtained for selected techno-economic objective functions by replacing each AC line with high voltage direct current independently. The obtained results have proved the voltage source converter high voltage direct current controller's impact on optimization of generation cost, voltage deviation, and total power system losses.

关键词： Optimal power flow particle swarm optimization algorithm power system optimization unified optimal power flow modeling voltage source converter based high voltage direct current

来源：评论

学校读者我要写书评

暂无评论

Spatial accessibility analysis and location optimization of emergency shelters in Deyang

引用

GEOMATICS NATURAL HAZARDS & RISK 2023年第1期14卷

作者： Zhang, Zuopei Hu, Yunfeng Lu, Wei Cao, Wei Gao, Xing Chinese Acad Sci Inst Geog Sci & Nat Resources Res State Key Lab Resources & Environm Informat Syst Beijing Peoples R China Univ Chinese Acad Sci Coll Resources & Environm Beijing Peoples R China

The selection and planning of the location of emergency shelters have a crucial impact on the safety of residents and cities. In this paper, based on multivariate open geographic data, the Gaussian two-step floating catchment area method, K-means clustering, and particle swarm optimization algorithm methods are utilized to carry out a spatial accessibility analysis and location optimization of emergency shelters in Deyang City, Sichuan Province, China. The study shows that: (1) Deyang City's emergency shelters are higher than the government's relevant standard requirements in terms of major indicators such as single building area, total area and per capita shelter area. (2) The spatial distribution of emergency shelters in the study area is uneven and unreasonable, with accessibility from the urban center outwards, exhibiting a "high-low" distribution pattern. (3) The study suggests that 10 new emergency shelters can reduce the number of accessible blind areas by 43.31%. The study recommends that the assessment and construction of emergency shelter facilities in rural areas in China and globally should be emphasized. Reliable recommendations for improvement of emergency shelter planning in Deyang city are provided in the study results.

关键词： Spatial accessibility Gaussian two-step floating catchment area method K-means clustering particle swarm optimization algorithm location optimization

来源：评论

学校读者我要写书评

暂无评论

Performance analysis of hybrid geometric-probabilistic shaped 8/12 quadrature amplitude modulation for coherent optical communication system

引用

OPTICAL ENGINEERING 2023年第6期62卷 068104-068104页

作者： Xu, Junping Ma, Jie Liu, Jianfei Lu, Jia Zeng, Xiangye Luo, Mingming Hebei Univ Technol Sch Elect & Informat Engn Tianjin Peoples R China Tianjin Key Lab Elect Mat & Devices Tianjin Peoples R China Hebei Key Lab Adv Laser Technol & Equipment Tianjin Peoples R China

. A hybrid shaping (HS) scheme based on geometric shaping (GS) and probabilistic shaping (PS) in a coherent optical communication system is proposed. A particle swarm optimization algorithm and Maxwell-Boltzmann distribution are employed to sequentially implement GS and PS. The results demonstrate that hybrid shaped 8/12-ary quadrature amplitude modulation (HS-8/12QAM) is superior to regular-8/12QAM (R-8/12QAM) in terms of reducing the bit error rate (BER) and increasing the generalized mutual information (GMI). HS-8QAM achieves a 2 dB optical signal-to-noise ratio (OSNR) gain and 0.45bits/symbol GMI gain compared with R-8QAM. Meanwhile, HS-12QAM achieves 1.9 dB OSNR gain and 0.68 bits/symbol GMI gain compared with R-12QAM. In addition, HS-8/12QAM is better than R-8/12QAM in terms of transmission distance and data rate.

关键词： coherent optical communication particle swarm optimization algorithm hybrid shaping generalized mutual information

来源：评论

学校读者我要写书评

暂无评论

Energy-efficient beamforming optimization for MISO communication based on reconfigurable intelligent surface

引用

PHYSICAL COMMUNICATION 2023年第1期57卷

作者： Tan, Fangqing Xu, Xu Chen, Hongbin Li, Shichao Guilin Univ Elect Technol Guangxi Key Lab Wireless Wideband Commun & Signal Guilin 541004 Peoples R China Guilin Univ Elect Technol Sch Informat & Telecommun Guilin 541004 Peoples R China

Reconfigurable intelligent surface (RIS), a planar metasurface consisting of a large number of low-cost reflecting elements, has received much attention due to its ability to improve both the spectrum and energy efficiency (EE) by reconfiguring the wireless propagation environment. In this paper, we propose a base station (BS) beamforming and RIS phase shift optimization technique that maximizes the EE of a RIS-aided multiple-input-single-output system. In particular, considering the system circuits' energy consumption, an EE maximization problem is formulated by jointly optimizing the active beamforming at the BS and the passive beamforming at the RIS, under the constraints of each user' rate requirement, the BS's maximal transmit power budget and unit-modulus constraint of the RIS phase shifts. Due to the coupling of optimization variables, this problem is a complex non-convex optimization problem, and it is challenging to solve it directly. To overcome this obstacle, we divide the problem into active and passive beamforming optimization subproblems. For the first subproblem, the active beamforming is given by the maximum ratio transmission optimal strategy. For the second subproblem, the optimal phase shift matrix at the RIS is obtained by exploiting sine cosine algorithm (SCA). Moreover, for this case where each reflection element's working state is controlled by a circuit switch, each reflection element's switch value is optimized with the aid of particle swarm optimization algorithm. Finally, numerical results verify the effectiveness of our proposed algorithm compared to other algorithms.(c) 2023 Elsevier B.V. All rights reserved.

关键词： Reconfigurable intelligent surface Energy efficiency Beamforming Sine cosine algorithm particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Optimal design and dynamic performance analysis of a fractional-order electrical network-based vehicle mechatronic ISD suspension

引用

MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2023年 184卷

作者： Shen, Yujie Hua, Jie Fan, Wei Liu, Yanling Yang, Xiaofeng Chen, Long Jiangsu Univ Res Inst Automot Engn Zhenjiang 212013 Peoples R China Jiangsu Univ Sch Automot & Traff Engn Zhenjiang 212013 Peoples R China

To further explore the beneficial effects of the vibration isolation performance of a new vehicle ISD (inerter-spring-damper) suspension using a mechatronic inerter, this paper proposes a novel optimal design methodology for a vehicle mechatronic ISD suspension system based on a fractional-order electrical network is proposed. In view of difficulties in the engineering imple-mentation of fractional-order mechanical network elements, this paper first studies the corre-sponding relationship and analytical expression of fractional-order mechanical and electrical network elements respectively. Under the instruction of fractional calculus, the fractional-order electrical network elements are used to realize equivalent fractional-order mechanical network elements by adopting a ball-screw mechatronic inerter. Then, a quarter car dynamic model of vehicle mechatronic ISD suspension is constructed, and the parameters of the fractional-order electrical network and the integer-order electrical network are obtained by means of particle swarm optimization algorithm. The performance advantages of vehicle mechatronic ISD sus-pension using a fractional-order electrical network are verified by numerical simulations and experiments. The results show that, compared with the application of an integer-order electrical network, the vibration suppression performance of a vehicle mechatronic ISD suspension can be further enhanced by using a fractional-order electrical network.

关键词： Vehicle suspension Mechatronic inerter Fractional-order electrical network particle swarm optimization algorithm Optimal design

来源：评论

学校读者我要写书评

暂无评论

A simulation-based optimization for deploying multiple kinds road rescue vehicles in urban road networks

引用

COMPUTERS & INDUSTRIAL ENGINEERING 2023年第1期181卷

作者： Tan, Zheyi Zhang, Qian Deng, Weiliang Zhen, Lu Shao, Wei Shanghai Univ Sch Management Shang Da Rd 99 Shanghai 200444 Peoples R China Shanghai Univ Sci Res Management Dept Shang Da Rd 99 Shanghai 200444 Peoples R China

In the rescue process of urban road traffic accidents, the decision-making support system is of great importance since it will affect the rescue response time, and the response time is used as an evaluation index of the system performance. A shorter response time can ensure that casualties are rescued timely and can help restore the road as soon as possible. This paper provides a decision tool for traffic accident rescue vehicles' integrated deployment problem in urban areas. In order to better simulate the stochastic rescue requests, the time and space distribution of traffic, and the dynamic rescue process, a simulation optimization model is established. This model determines the optimal deployment plan for three kinds of road rescue vehicles, i.e., ambulances, wreckers, and sweepers, in several time intervals in one day. To find a better solution, we incorporate a particle swarm optimization (PSO) method into the simulation and optimization procedures. The proposed method is validated by a case study in Shanghai. Additionally, sensitivity analysis is included to study the effects of various parameters and to confirm effectiveness and efficiency of the proposed method. The numerical experiments indicate that simply increasing the number of road rescue resources does not always improve the efficiency of road rescue.

关键词： Traffic accident rescue Vehicle deployment Simulation optimization particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：