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IEEE Congress on Evolutionary Computation (IEEE CEC)

作者： Liu, Jun Shi, Tianyun Ma, Xiaoning Xue, Rui Liu, Min Chinese Acad Railway Sci Inst Comp Technol Beijing Peoples R China Chinese Acad Railway Sci Dept Sci & Informat Beijing Peoples R China

ISBN: (纸本)9781728183923

Considering the safety factors in the railway, this paper mainly focuses on the optimal speed of high-speed train or locomotive from the starting station to the ending station. Firstly, some concepts in the railway safety, which include the risk source, hidden danger, accident and safety warning point, are introduced to better understand the railway safety factors. Secondly, the mathematical model including objective function and the corresponding constraints is analyzed to solve the optimal train speed problem. Thirdly, the pso algorithm is used to provide and design the optimal speed train from the starting station to the ending station. Simulation results show that pso algorithm can handle with the optimal train speed problem and the obtained optimal speed are provided to ensure the train safety in the constant transportation time.

关键词： pso algorithm train security risk optimal speed

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Electronic Transaction Fraud Detection Based on Improved pso algorithm

Electronic Transaction Fraud Detection Based on Improved PSO...

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2nd International Conference on Computer Science and Network Technology (ICCSNT)

作者： Shen Jia-jie E China Normal Univ Comp Ctr Sch Informat Sci & Technol Shanghai Peoples R China

ISBN: (纸本)9781467329644;9781467329637

Aiming to the problem of how to find the cheating samples of the Electronic transaction, using method of assigning the value on every particle base on the environment, the improved particle swarm optimization (pso) algorithm is presented to handle this problem. Though the theoretical derivation, the cheating sample is detected in optimization cost and the adaptability and correctness of the algorithm is proofed. The correctness of theoretical derivation is also verified by the experiment.

关键词： electronic transaction pso algorithm fraud detection

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A minimum zone method for evaluating straightness errors using pso algorithm

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4th International Conference on Intelligent Computing

作者： Zhang, Ke Shanghai Inst Technol Sch Mech & Automat Engn Shanghai 200235 Peoples R China

ISBN: (纸本)9783540874409

Straightness error is the commonest one of form errors. In this paper, an intelligent evaluation method for straightness errors is provided. According to characteristics of straightness error evaluation, Particle Swarm Optimization (pso) is proposed to evaluate the minimum zone error. The evolutional optimum model and the calculation process for using the pso to evaluate minimum zone error are introduced in detail. Compared with conventional optimum methods such as simplex search and Powell method, pso algorithm can find the global optimal solution, and the precision of calculating result is very good. Compared to genetic algorithms (GA), pso is easy to implement and there are few parameters to adjust. Finally, a numerical example is carried out. The control experiment results evaluated by using different method such as the least square, simplex search, Powell optimum methods, Simulated Annealing algorithms (SAA), GA and pso, indicate that the proposed method does provide better accuracy on straightness error evaluation, and it has fast convergent speed as well as using computer.

关键词： Evaluating Straightness Genetic algorithms (GA) pso algorithm

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DYNAMICAL OPTIMIZATION OF TRACKED VEHICLE BASED ON RICCATI TRANSFER MATRIX METHOD AND pso algorithm

DYNAMICAL OPTIMIZATION OF TRACKED VEHICLE BASED ON RICCATI T...

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ASME International Design Engineering Technical Conferences (IDETC) / Computers and Information in Engineering Conference (CIE)

作者： Wang, Pingxin Rui, Xiaoting Zhang, Jianshu Yu, Hailong Zhu, Hongtao Nanjing Univ Sci & Technol Inst Launch Dynam Nanjing Peoples R China

ISBN: (纸本)9780791851838

Aiming at the problems of complex modeling and low calculation efficiency during dynamical optimization of tracked vehicles, a method for the closed-loop system called Riccati transfer matrix method for multibody system is proposed. In order to reduce the vibration acceleration of track shoes in the driving process, this paper uses the pso algorithm and utilizes a strategy of decreasing the inertia weight to optimize the structural parameters of tracked vehicles. The research shows that the root mean square of vibration acceleration of track shoes above the support rollers is obviously reduced. This method provides a theoretical reference for the design of tracked vehicles and is beneficial to the dynamic design of complex systems.

关键词： tracked vehicle Riccati transfer matrix method for multibody system pso algorithm dynamical optimization

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A Multi-Objective pso algorithm Based on Escalating Strategy

A Multi-Objective PSO Algorithm Based on Escalating Strategy

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2nd International Conference on Computer and Automation Engineering (ICCAE)

作者： Xu, Bin Yu, Jing Zhu, YouGan Cent Univ Finance & Econ Sch Accountancy Beijing Peoples R China Chinese Acad Sci Univ Grad Res Ctr Fictitious Econ & Data Sci Beijing Peoples R China Beijing Inst Clothing Technol Sch Business Beijing Peoples R China

ISBN: (纸本)9781424455690

In this paper, a multi-objective pso algorithm based on escalating strategy will be proposed. The main idea of this escalating strategy is to re-generate the whole evolutionary population with some technology, which results in a new population significantly indifferent from the old one while inheriting the evolutionary information from the history. By this way, the performance on global convergence can be enhanced, and premature can be avoided simultaneously. A neighborhood search procedure is imposed on some selected Pareto solutions to accelerate the evolution process for reaching a global Pareto set with well distribution. Some typical multi-objective optimization test problems are taken to solve with escalation pso and non-escalation pso respectively to verify the effectiveness of the new algorithm. The details about how to select appropriate escalating parameters and their effect on the performance of EMpso are also investigated to show that the EMpso with random inertia weight factor has some advantage over than that of fixed inertia weight.

关键词： multi-objective optimization pso algorithm local search escalating evolution

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Integration of pso algorithm and Fuzzy Logic to Reduce Energy Consumption in IoT-Based Sensor Networks 13th

Integration of PSO Algorithm and Fuzzy Logic to Reduce Energ...

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13th International Conference on Computational Collective Intelligence (ICCCI)

作者： Seyedi, Behnam Postolache, Octavian Inst Univ Lisboa ISCTE IUL Lisbon Portugal

ISBN: (纸本)9783030881139;9783030881122

Wireless sensor network (WSN) is composed by a set of sensor nodes with low energy consumption and low cost which could sense quantities like humidity, temperature, pressure and send them to the central node. The routing optimization in IoT networks is required taking into account the traffic, congestion, and failure of some or all network services. In fact, low traffic and network congestion means high quality routing in that network. Increasing the network lifetime and improving the routing quality is one of the main concerns of IoT-based sensor networks. In this paper, a new clustering algorithm is proposed to increase the network efficiency in the IoT-based sensor networks using the fuzzy logic and particle swarm optimization (pso) algorithm. In this approach, the cluster was created in WSN using energy modelling for effective routing of data packages via using fuzzy logic and (pso). The stimulation results of the proposed method showed higher capabilities by comparison with reported algorithms (e.g. LEACH, FLCFP, HEED, FBCFP) s that were used for energy consumption optimization in WSN.

关键词： pso algorithm Fuzzy logic IoT WSN

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Towards alleviating operating conditions of MPC controlled VSC for DFIG-Based Wind Turbines using pso algorithm 6

Towards alleviating operating conditions of MPC controlled V...

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6th Global Power, Energy and Communication Conference (GPECOM)

作者： Ali, Youssef Ait Ouassaid, Mohammed Mohammed Univ Rabat Mohammadia Sch Engn Morocco Engn Smart & Sustainable Syst Res Ctr Rabat Morocco

ISBN: (纸本)9798350351088;9798350351095

In this paper, an enhanced FCS-MPC control scheme is introduced for DFIG-based wind turbines. Controllers employing FCS-MPC to govern power converters often exhibit elevated switching frequencies, leading to notable switching losses and the potential for damaging power converters. This paper addresses this issue by using the pso meta-heuristic algorithm to optimize switching frequencies. Notably, the optimization is performed while adhering to the IEEE Standards' waveform requirements for the current injected into the PCC. FCS-MPC with a single step prediction horizon performs well but leads to high switching frequencies for power converters. This issue persists when using a prediction horizon with dual step. To overcome this issue, a pso optimized penalty term is incorporated into the cost function to minimize the overall switching frequency. The obtained results demonstrates a significant reduction in the switching frequency of DFIG converters without compromising control. The average switching frequencies for RSC and GSC are decreased by 1,67 kHz and 14,98kHz, respectively, in comparison to conventional MPC. While the THD level of the grid current is evaluated at 3.98%, which is fully coplying with IEEE 519 Std.

关键词： FCS-MPC DFIG Wind Turbine Switching Frequency pso algorithm

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Dynamic Design of the Turbomachinery Blade with the Joint Application of the Newly Developed Constrained Zone and the pso algorithm 24

Dynamic Design of the Turbomachinery Blade with the Joint Ap...

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24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD)

作者： Lu, Yeming Liu, Haoran Wang, Xiaofang Li, Yingyue Yan, Yongqi Dalian Univ Technol Sch Energy & Power Engn Dalian Peoples R China

ISBN: (纸本)9781728165974

New design approach to improve the turbomachinery performance is the research hot in various areas. In order to make up for the shortcomings about the uncertain design variables ranges and the simple 2D blade profile design method in previous studies, a modified inverse design approach established on the newly derived constrained zone and the pso algorithm has been proposed in this study, and a developed design program with the Matlab platform was developed. With the adoption of the scaled 1:2.5 hydraulic model of the CAP1400 impeller as the target, the proposed joint design method was applied and verified.

关键词： dynamic design turbomachinery blade constrained zone pso algorithm

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Tolerance Optimization Design based on Physical Programming Methods and pso algorithm

Tolerance Optimization Design based on Physical Programming ...

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International Conference on Sustainable Construction Materials and Computer Engineering (ICSCMCE 2011)

作者： Qiu, H. B. Dong, Y. Y. Wang, Y. Gao, L. Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9783037852583

Product tolerance is one of the key factors which can determine the good or bad performance of mechanical products. Its size not only affects the manufacturing and assembly process, but also affects product features Ell. Thus tolerance optimization design gets more and more attention. In this paper, an improved physical programming method is used to make mathematical modeling for tolerance allocation problem of assembly dimensional chain, and pso algorithm is also used to improve solving ability. And the effective solution for tolerance optimization is designed.

关键词： Tolerance optimization Tolerance allocation Physical programming Assembly dimension chain pso algorithm

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A new approach based on pso algorithm to find good computational encoding sequences

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Progress in Natural Science:Materials International 2007年第6期17卷 712-716页

作者： Cui Guangzhao1, Niu Yunyun1, Wang Yanfeng1, Zhang Xuncai2 and Pan Linqiang2(1. School of Electrical and Electronic Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China 2. Research Institute of Biomolecular Computer, Huazhong University of Science and Technology, Wuhan 430074, China) [a]School of Electrical and Electronic Engineering Zhengzhou University of Light Industry Zhengzhou China [b]Research Institute of Biomolecular Computer Huazhong University of Scienc and Technology Wuhan China

Computational encoding DNA sequence design is one of the most important steps in molecular computation. A lot of research work has been done to design reliable sequence library. A revised method based on the support system developed by Tanaka et al. is proposed here with different criteria to construct fitness function. Then we adapt particle swarm optimization (pso) algorithm to our encoding problem. By using the new algorithm, a set of sequences with good quality is generated. The result also shows that our pso-based approach could rapidly converge at the minimum level for an output of the simulation model. The celerity of the algorithm fits our requirements.

关键词： DNA computing computational encoding DNA sequences pso algorithm fitness function

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