检索结果-内蒙古大学图书馆

Path planning of surgical needle: A new adaptive intelligent particle swarm optimization method

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2022年第4期44卷 766-774页

作者： Tan, Zhen Liang, Hua-Geng Zhang, Dan Wang, Qing-Guo Zhejiang Univ Technol Res Ctr Automat & Artificial Intelligence 288 Liuhe Rd Hangzhou 310023 Zhejiang Peoples R China Huazhong Univ Sci & Technol Union Hosp Tongji Med Coll Dept Urol Wuhan Peoples R China Beijing Normal Univ Zhuhai Chair Prof Inst Artificial Intelligence & Future Beijing Peoples R China BNU HKBU United Int Coll Beijing Peoples R China

Percutaneous puncture interventional therapy is an important method for pathological examination, local anesthesia, and local drug delivery in modern clinics. Due to the existence of complex obstacles such as nerves, arteries, bones and so on in the puncture path, it is a challenging work to design the optimal path for surgical needle. In this paper, we propose a new path planning method based on the adaptive intelligent particle swarm optimization (PSO) algorithm with parameter adjustment mechanism. First, force and motion analysis are carried out on the bevel-tip flexible needle after piercing into human tissues, the motion model of the needle and the spatial transformation model of puncture route in three-dimensional space are obtained, respectively. Then, a multi-objective function is established, which includes puncture path length function, puncture error function and collision detection function. Finally, the optimal puncture path is obtained based on the adaptive intelligent PSO algorithm. The simulation results show that the newly proposed path planning method has higher efficiency, better adaptability to complex environments and higher accuracy than other path planning methods in literature.

关键词： Path planning surgical needle particle swarm optimization algorithm multi-objective optimization intelligent parameter adjustment

来源：评论

学校读者我要写书评

暂无评论

Spacecraft Attitude Control with Fully Actuated System and particle swarm optimization Approaches 2

Spacecraft Attitude Control with Fully Actuated System and P...

引用

2nd Conference on Fully Actuated System Theory and Applications (CFASTA)

作者： Li, Jiawei Liu, Ming Nie, Tao Harbin Inst Technol Sch Astronaut Harbin 150001 Peoples R China Beijing Inst Technol Beijing 100081 Peoples R China

ISBN: (纸本)9798350332162

In this paper, attitude tracking control of spacecraft is studied. Firstly, the fully actuated system models of rigid body satellite is established, and then the linear sliding mode controller is designed by direct parameterization method. One of the key problems in direct parameterization is the tuning of matrix parameters. Aiming at the difficulty of parameter setting of spacecraft attitude controller based on fully actuated system approach, a parameter setting method based on particle swarm optimization algorithm was proposed. particle swarm optimization is used to adjust matrix parameters more quickly and accurately. At the same time, inertia weight factor is introduced to avoid the early local optimal phenomenon of particle swarm optimization algorithm. Simulation results reveal the effect of the proposed control approach.

关键词： Fully actuated system approach Direct parameterization method Satellite attitude control particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Application of Discrete particle swarm optimization algorithm to Aviation Rescue Base Location

Application of Discrete Particle Swarm Optimization Algorith...

引用

Chinese Intelligent Automation Conference (CIAC)

作者： Wu, Xiuyu Xing, Guoping Chen, Yongren Wu, Lijie Aviat Univ Air Force PLA Dept Aviat Lifesaving 7855 Renmin St Changchun 130022 Peoples R China Aviat Univ Air Force PLA Changchun 130022 Peoples R China Chengde Petr Coll Dept Foreign Language & Traveling Chengde 067000 Peoples R China

ISBN: (纸本)9783642385247;9783642385230

Based on the theoretic study of location of general facilities, this paper makes an attempt to optimize the typical discrete element of the location of aviation rescue base through discrete binary particle swarm (PSO) algorithm in order to find out an optimized location method with more simplified calculation and more optimized result, which will finally provide a solid theoretical foundation for the location of aviation rescue base.

关键词： Aviation rescue base Location model particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Residual Life Assessment of XLPE Insulated Power Cable Based on particle swarm optimization 6

Residual Life Assessment of XLPE Insulated Power Cable Based...

引用

6th International Conference on HVDC, HVDC 2024

作者： Ma, Hanchao Zhang, Xiaojun Liu, Guoliang Wang, Zhen Li, Yue Zhuang, Xin State Grid Xinjiang Electric Power Co. Ltd. Power Science Research Institute Urumqi China

ISBN: (纸本)9798350387759

During the residual life evaluation process of the cable, since the evaluation factor is the weight value calculation exists, there is a lower accuracy of the evaluation result, and therefore, the residual life assessment system of the micro-gatheter-based algorithm is determined. First, the fault tree analysis method is used, and the evaluation factor is determined from the perspective of electrostaticization and thermochemical, and the evaluation model is constructed, and the aging factor of the cable is determined. Second, the weight value and the adaptation function are calculated by the particle group algorithm, and the input data is normalized. Finally, it is determined to determine the remaining life of the cable in conjunction with different assessment factors. Through example analysis, the research method can obtain the optimal solution adaptation value 1.982 when it is an iteration to 10 times, and in its subsequent process, the optimal solution adaptation value is stable in 1.982, and the method of this article is more Fast acquisition of the best solution adaptation value, improve the efficiency of the surplus life evaluation of the analysis object, determine the weight value of the assessment factor under the measurement of the iterative period, and improve the residual life of the cable. © 2024 IEEE.

关键词： algorithm performance cross-linked polyethylene evaluation factors particle swarm optimization algorithm power cable residual life assessment weight value calculation

来源：评论

学校读者我要写书评

暂无评论

Hybrid Bat & particle swarm algorithm for optimization of labyrinth spillway based on half & quarter round crest shapes

引用

FLOW MEASUREMENT AND INSTRUMENTATION 2019年 66卷 209-217页

作者： Ferdowsi, Ahmad Farzin, Saeed Mousavi, Sayed-Farhad Karami, Hojat Semnan Univ Fac Civil Engn Dept Water Engn & Hydraul Struct Semnan Iran

optimization is an interesting method that finds the optimal response (i.e., objective function) by searching the decision variables in the search space. The present study deals with the optimal design of a labyrinth spillway (LS) having half-round or quarter-round crest shape. For optimal the design of the spillway geometry, an evolutionary Hybrid algorithm (HA) of Bat algorithm (BA) and particle swarm optimization (PSO) algorithm was developed. By this procedure, the worst responses of one algorithm are replaced by the best responses of the other algorithm. This HA does not get trapped in local minima and has high convergence rate concerning the optimal absolute response. Results of using HA showed that LS with half-round crest requires less concrete, compared to quarter-round crest. Moreover, the discharge capacity for LS with half-round crest was more than the quarter-round crest. The HA significantly reduced the computational time for the optimal design of LS with half-round or quarter-round crest, as compared to BA or PSO.

关键词： optimization Labyrinth spillway Crest shape Hybrid algorithm Bat algorithm particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

An Assimilated Approach of Concept Analysis and particle swarm optimization algorithm for Effective Test Suite Minimization

An Assimilated Approach of Concept Analysis and Particle Swa...

引用

IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)

作者： Selvakumar, S. Manikumar, T. Kumar, A. John Sanjeev Latha, L. GKM Coll Engn Technol Dept Comp Sci & Engn Madras Tamil Nadu India RVS Coll Engn Technol Dept Comp Applicat Dindigul India Thiagarajar Coll Engn Dept Comp Applicat Madurai 625015 Tamil Nadu India Bharathiar Univ Dept Comp Sci Ctr Res & Dev Coimbatore Tamil Nadu India

ISBN: (纸本)9781479915941;9781479915958

In most of the test suite minimization techniques, either the size minimization is more or the fault detection is more. But a combination of both would yield better qualified reduced test suite. This paper presents a technique where the size minimization is obtained through the optimization algorithm, particle swarm optimization and the Fault Detection Effectiveness is obtained through Concept Analysis. In spite of our algorithm producing results similar to Genetic algorithm, the computation time of our algorithm is simple and improves the fault detection capacity. The experimental results indicate that PSO outperforms GAs for most code elements to be covered in terms of effectiveness and efficiency.

关键词： Test suite minimization concept analysis particle swarm optimization algorithm Empirical analysis

来源：评论

学校读者我要写书评

暂无评论

Dynamic particle swarm optimization algorithm based Maximum Power Point Tracking of Solar Photovoltaic Panels

Dynamic Particle Swarm Optimization Algorithm based Maximum ...

引用

IEEE International Symposium on Industrial Electronics (ISIE)

作者： Huynh, Duy C. Nguyen, Thoai N. Dunnigan, Matthew W. Mueller, Markus A. Vietnam Natl Univ Univ Technol Power Syst Dept Ho Chi Minh City Vietnam

ISBN: (纸本)9781467351942;9781467351928

This paper proposes a novel application of a dynamic particle swarm optimization (PSO) algorithm for determining a maximum power point (MPP) of a solar photovoltaic (PV) panel. Solar PV cells have a non-linear V-I characteristic with a distinct MPP which depends on environmental factors such as temperature and irradiation. In order to continuously harvest maximum power from the solar PV panel, it always has to be operated at its MPP. The proposed dynamic PSO algorithm is one of the PSO algorithm variants, which modifies the acceleration coefficients of the cognitive and social components in the velocity update equation of the PSO algorithm as linear time-varying parameters to improve the global search capability of particles in the early stage of the optimization process and direct the global optima at the end stage. The obtained simulation results are compared with MPPs achieved using other algorithms such as the standard PSO, and Perturbation and Observation (P&O) algorithms under various atmospheric conditions. The results show that the dynamic PSO algorithm is better than the standard PSO and P&O algorithms for determining and tracking MPPs of solar PV panels.

关键词： solar photovoltaic panel maximum power point tracking particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Multi-objective Optimal Sizing Hybrid Power System in a Solar Electric Vehicle Using particle swarm optimization algorithm

Multi-objective Optimal Sizing Hybrid Power System in a Sola...

引用

4th International Conference on Manufacturing Science and Engineering (ICMSE 2013)

作者： Zhou Shiqiong Guo Guifang Xiang Yongyang Shenzhen Inst Informat Technol Dept Traff & Environm Shenzhen Peoples R China Tibet Univ Int Informat Engn Dept Tibet Peoples R China

ISBN: (纸本)9783037856932

In a solar electric vehicle, the optimal sizing of hybrid power system can be considered as a multi-objective optimization problem. The two conflicting goals are to maximize the Loss of Peak Power Probability (LPPP) and minimize the system cost. And the former is related to the reliability of the system while the latter relates to whether production prototype so the two optimization objectives are important. An improved particle swarm algorithm was presented to optimal size the hybrid power system. Here the mutation operator of genetic algorithm was introduced and the acceleration factor could change with time. The optimization results show that: the improved particle swarm algorithm can well solve the hybrid power system for multi-objective optimization problems.

关键词： Multi-objective optimal sizing Hybrid power particle swarm optimization algorithm Solar electric vehicle (SEV)

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of particle swarm optimization algorithm for Optimal Design of Belt Pulley System

Performance Evaluation of Particle Swarm Optimization Algori...

引用

4th International Conference on swarm, Evolutionary, and Memetic Computing (SEMCCO)

作者： Sabarinath, Pandurengan Thansekhar, M. R. Saravanan, R. KLN Coll Engn Pottapalayam 630611 India JCT Coll Engn & Technol Coimbatore Tamil Nadu India

ISBN: (纸本)9783319037530;9783319037523

The present scenario in the design of machine elements includes the minimization of weight of the individual components in order to reduce the overall weight of the machine elements. It saves both cost and energy involved. Belts are used to transmit power from one shaft to another by means of pulleys which rotate at the same speed or different speeds. Generally, the weight of pulley acts on the shaft and bearings. In the present study, minimization of weight of a belt pulley system has been investigated. particle swarm optimization algorithm (PSO) is used to solve the above mentioned problem subjected to a set of practical constraints and it is compared with the results obtained by Differential Evolution algorithm (DEA). Our results indicate that PSO approach handles our problem efficiently in terms of precision and convergence and it outperforms the results presented in the literature.

关键词： Optimal Design Belt pulley system particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

An effective particle swarm optimization algorithm for flexible job-shop scheduling problem

An effective particle swarm optimization algorithm for flexi...

引用

5th International Conference on Industrial Engineering and Systems Management (IEEE IESM)

作者： Nouiri, Maroua Jemai, Abderezak Ammari, Ahmed Chiheb Bekrar, Abdelghani Niar, Smail Carthage Univ INSAT Inst MMA Lab Tunis Tunisia King Abdulaziz Univ Fac Engn Jeddah 21413 Saudi Arabia Univ Lille Nord France F-59000 Lille France UVHC TEMPO Lab PSI Team F-59313 Valenciennes France UVHC LAMIH Lab DIM Team F-59313 Valenciennes France

ISBN: (纸本)9782960053241

Flexible job-shop scheduling problem (FJSP) is very important in many research fields such as production management and combinatorial optimization. The FJSP problems cover two difficulties namely machine assignment problem and operation sequencing problem. In this paper, we apply particle swarm optimization (PSO) algorithm to solve this FJSP problem aiming to minimize the maximum completion time criterion. Various benchmark data taken from literature, varying from Partiel FJSP and Total FJSP, are tested. Computational results proved that the PSO developed is enough effective and efficient to solve flexible job-shop scheduling problem.

关键词： flexible job-shop scheduling problem makespan particle swarm optimization algorithm routing and scheduling

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：