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Proceedings of the 2022 5th International Conference on algorithms, Computing and Artificial Intelligence

作者： Wei Zhou Xinlei Cai Jinzhou Zhu Xu Lin Xinglang Xie Power Dispatching and Controlling Center of Guangdong Power Grid Company Limited Guangdong Power Grid Company Limited China Digital Grid Branch of China Southern Power Grid Digital Power Grid Group Co. Ltd China

ISBN: (纸本)9781450398336

Aiming at the problem of large error in power system assessment results, this paper proposes a power system state assessment and analysis method based on pso algorithm. Firstly, the existing assessment and analysis methods for power system state are analyzed, and then the state assessment and analysis model for regional power system is established to determine the corresponding assessment principles. Then, pso algorithm is used to solve the optimal strategy of power system state assessment. Finally, the performance of the proposed method is verified and analyzed based on MATLAB software platform. The experimental results show that the assessment and analysis method for power system state can quickly determine the optimal strategy of power system state assessment, effectively improve the accuracy of power system state assessment, and help to maintain the safe and stable operation of power system.

关键词： pso algorithm state assessment power system analysis model optimal strategy

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Optimization of terahertz fingerprint and identification capabilities by using pso algorithm

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OPTIK 2022年 264卷

作者： Latreche, Feriel Yasmine Lazoul, Mohamed Boutemedjet, Ayoub Coutaz, Jean-Louis Ecole Mil Polytech Lab Syst Lasers BP 17 Bordj El Bahri Algiers 16111 Algeria Univ Savoie Mt Blanc Lab IMEP LAHC F-73376 Le Bourget Du Lac France

In the terahertz range, materials are often characterized by a specific spectral response that contains unique resonant frequencies, which allows to detect and identify them very precisely. In this work, we have developed a new efficient calculating model that can be applied to identify the resonance frequencies of the material using terahertz time-domaine spectroscopy measurements in transmission mode. Furthermore, the pso optimization algorithm is an extremely powerful tool that, once associated with our model, allowed us to quickly and accurately extract the optical characteristics of the material such as the absorption and the refractive index of the material. The performances of the proposed technique are very relevant particularly in the case of important noise.

关键词： Terahertz spectroscopy Spectral fingerprints pso algorithm

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The multilayer structure design of magnetic-carbon composite for ultra-broadband microwave absorption via pso algorithm

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JOURNAL OF ALLOYS AND COMPOUNDS 2022年 913卷

作者： He, Li Li, Xun Zhao, Yuchen Zhong, ZuTing Zhang, Jie Yang, Ying Xi, Xiaoli Xian Univ Technol Sch Automation & Informat Engn Xi'an 710048 Peoples R China Xi An Jiao Tong Univ Elect Mat Res Lab Key Lab Minist Educ Xi'an 710049 Peoples R China Xi An Jiao Tong Univ Int Ctr Dielect Res Sch Elect Sci & Engn Xi'an 710049 Peoples R China

In this work, the multilayer magnetic-carbon composites were precisely constructed by the Particle Swarm Optimization algorithm to achieve an ultra-broadband electromagnetic wave absorbing (EMA) performance. Composite with different content of magnetic Fe3S4 hollow microspheres and carbon nanotubes were prepared as absorbing fillers to obtain four basic monolayer EMA materials. Based on their different electromagnetic parameters, various multilayer structures were designed and further simulated via the finite element method. In a series of designed EMA materials with intense absorption and broad bandwidth, a 2-layer model with 3.8 mm thickness was selected as an optimal structure, owning to its excellent simulation EMA property with a minimum reflection loss of -40 dB and an extended qualified bandwidth value of 11.7 GHz. According to the designed structural parameters, the 2-layer composite was successfully prepared and the measured results were in good agreement with the simulated properties, confirming the accuracy of the multilayer optimization. The FEM simulation analysis revealed that the high EMA performance of the multilayer composites is attributed to the enhancement of the electromagnetic loss capability as well as the improvement of broadband impedance matching between the material surface and air. (c) 2022 Elsevier B.V. All rights reserved.

关键词： Microwave absorption Multilayer composite pso algorithm Impedance match

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Integrated Silicon Photonic Reservoir Computing With pso Training algorithm for Fiber Communication Channel Equalization

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JOURNAL OF LIGHTWAVE TECHNOLOGY 2023年第18期41卷 5841-5850页

作者： Zuo, Xiaoyan Pei, Li Bai, Bing Wang, Jianshuai Zheng, Jingjing Ning, Tigang Dong, Fei Zhao, Zilun Beijing Jiaotong Univ Inst Lightwave Technol Key Lab All Opt Networks & Modern Commun Networ Beijing 100044 Peoples R China Photoncounts Beijing Technol Co Ltd Beijing 100081 Peoples R China Beijing Aerosp Inst Metrol & Measurement Technol Beijing 100076 Peoples R China

An optical channel distortion equalization method based on silicon photonic reservoir computing (PhRC) structure with particle swarm optimization (pso) algorithm is proposed. The weights training scheme of the photonic readout layer of PhRC is trained by pso algorithm towards a lower bit error rate (BER) and a better eye diagram, simultaneously. The self-organizing evolutionary pso algorithm enables fast convergence and iterative optimization for training optical weights. Without the necessary the reservoir signal states obtained from the monitors, it eliminates the noise introduced by the optical monitors. We implement a system-level simulation, including RC structure, training algorithm, and fiber communication construction. Because of the excellent performance of the pso training algorithm, a BER of 9.15 x 10(-5) is obtained with the 25 Gb/s on-off keying (OOK) input signal in the case of 25 km single-mode transmission. This BER result is three orders of magnitude lower than that before the equalization. This equalizer mitigates the processing bandwidth limit and provides a distorted signals equalization method in the optical domain with simple and effective training strategy. This method shows much potential in high speed optical communication channel equalization in the future.

关键词： Optical distortion Reservoirs Optical fibers Adaptive optics Photonics Optical device fabrication High-speed optical techniques Fiber communication impairment compensation pso algorithm reservoir computing silicon photonics

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Optimized pso algorithm based on the simplicial algorithm of fixed point theory

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APPLIED INTELLIGENCE 2020年第7期50卷 2009-2024页

作者： Ren, Minglun Huang, Xiaodi Zhu, Xiaoxi Shao, Liangjia Hefei Univ Technol Sch Management Hefei 230009 Peoples R China Minist Educ Key Lab Proc Optimizat & Intelligent Decis Making Hefei 230009 Peoples R China

Particle swarm optimization algorithm (pso) has been optimized from various aspects since it was proposed. Optimization of pso can be realized by optimizing its iterative process or the initial parameters and heuristic methods have been combined with the initial pso algorithm to improve its performance. In this paper, we introduce the Simplicial algorithm (SA) of fixed point theory into the optimization of pso and proposed a FP-pso (Fixed-point pso) improved algorithm. In FP-pso algorithm, the optimization of target function is converted into the problem of solving a fixed point equation set, and the solution set obtained by Simplicial algorithm (SA) of fixed point theory is used as the initial population of pso algorithm, then the remaining parameters can be obtained accordingly with classical pso algorithm. Since the fixed point method has sound mathematical properties, the initial population obtained with FP-pso include nearly all the approximate local extremes which maintain the diversity of population and can optimize the flight direction of particles, and shows their advantages on setting other initial parameters. We make an experimental study with five commonly used testing functions from UCI (University of California Irvine) which include two single-peak functions and three multi-peak functions. The results indicate that the convergence accuracy, stability, and robustness of FP-pso algorithm are significantly superior to existing improve strategies which also optimize pso algorithm by optimizing initial population, especially when dealing with complex situations. In addition, we nest the FP-pso algorithm with four classical improved pso algorithms that improve pso by optimizing iterative processes, and carry out contrast experiments on three multi-peak functions under different conditions (rotating or non-rotating). The experimental results show that the performance of the improved algorithm using nested strategy are also significantly enhanced compared with

关键词： pso algorithm FP-pso algorithm Simplicial algorithm Fixed point Initial population

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Best pattern for placement of piezoelectric actuators in classical plate to reduce stress concentration using pso algorithm

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MECHANICS OF ADVANCED MATERIALS AND STRUCTURES 2020年第2期27卷 141-151页

作者： Fesharaki, Javad Jafari Madani, Seyed Ghasem Golabi, Sa'id Islamic Azad Univ Najafabad Branch Dept Mech Engn Najafabad Iran Islamic Azad Univ Modern Mfg Technol Res Ctr Najafabad Branch Najafabad Iran Univ Kashan Fac Engn Dept Mech Engn Kashan Iran

The purpose of this article is using piezoelectric actuators to reduce stress concentration factor in classic plates under tensile force. There are three classic plates in this study including plates with hole, notched plates, and filleted plates. Here we look for optimal models for placement of the introduced piezoelectric actuators at different ratios of stiffness to maximize reduction in stress concentration factor. In order to optimize piezoelectric actuators placement, particle swarm optimization algorithm is used. The results show that the location of patches is changed by different values of stiffness ratio (stiffness of plate/stiffness of patches). The findings indicate that the piezoelectric actuators placement models are different for stiffness values at smaller and greater than 1 in classical plates. For stiffness ratios smaller than 1, the patches can reduce the stress directly. However, the actuators follow a certain model in all classic plates at stiffness ratio greater than 1, and reduce stress stream indirectly by affecting the stress stream. The results show that there is a certain model for placement of piezoelectric actuators at any certain stiffness ratio in all classical plates. Three empirical tests have been used to validate the results.

关键词： Classical plate piezoelectric actuators reduce stress concentration pso algorithm optimization

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Research on Comprehensive Evaluation of Higher Education based on BP Neural Network and pso algorithm

International Core Journal of Engineering

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International Core Journal of Engineering 2022年第7期8卷 678-685页

作者： Haotian Zhao Jiazuo Han Jincheng Pan

In the past four decades, the expansion of higher education has become a mainstream trend in the development of higher education in the world, and has had a profound impact on all dimensions of society and the higher education system. Therefore, this article established a higher education system evaluation model, and evaluated higher education in the six countries of the United States, Australia, Germany, Japan, Brazil, and Turkey. First, we selected 11 indicators such as the education index and the number of universities in the above six countries as the secondary indicators, and used the principal component analysis method to reduce the 11 indicators into 3 primary indicators, which are scientific research achievements and university construction. And the implementation status of higher education. Next, we use BP neural network to establish an evaluation model. Considering the shortcomings of BP neural network such as slow convergence speed and low accuracy, we use pso algorithm to improve it, which greatly improves the convergence and generalization ability. Finally, a complete higher education health evaluation model is obtained.

关键词： System of Higher Education PCA BP Neural Network pso algorithm

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New mixed-coding pso algorithm for a self-adaptive and automatic learning of Mamdani fuzzy rules

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2020年第0期89卷 103417-000页

作者： Kacimi, Mohand Akli Guenounou, Ouahib Brikh, Lamine Yahiaoui, Fateh Hadid, Nouh Univ Bejaia LTII Fac Technol Bejaia 06000 Algeria

Thanks to its algorithmic performances, pso algorithm becomes a popular tune tool for fuzzy systems in literature. However, it still encounters many complications, especially when dealing with Mamdani fuzzy system type because of its nature. The Mamdani fuzzy system is known as a linguistic model where the semantic meaning of the fuzzy rules is an intrinsic characteristic that must be retained during the learning process, while seeking for high accuracy. Therefore, to tune the Mamdani fuzzy system, it is very crucial to well represent each rule in a way that preserves this characteristic firstly, and to look for a search mechanism to optimize them throughout this topic secondly. In this paper, we introduce a new and promising approach to optimize the Mamdani fuzzy systems without a need of any prior knowledge. To the best of our knowledge, this approach is the first to optimize simultaneously the membership functions, the scaling factor parameters and the fuzzy rule conclusions with a mixed-coding pso algorithm by combining a special monitoring function and a self-adaptive threshold. The proposed approach is validated by a comparative study with other design strategies taken from Box-Jenkins gas furnace system literature and two theoretical examples in addition to a real-time control of the inverted pendulum Feedback 33-200. The obtained results proved the potential and the effectiveness of the proposed approach.

关键词： Mamdani fuzzy system pso algorithm Optimization Automatic learning Semantic interpretability

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Optimum design of tuned mass damper via pso algorithm for the passive control of forced oscillations in power transmission lines

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SN APPLIED SCIENCES 2020年第5期2卷 900页

作者： Abbasi, Mohammad Hossein Moradi, Hamed Sharif Univ Technol Ctr Excellence Design Robot & Automat Dept Mech Engn Tehran Iran

Transmission lines are prone to external excitations due to their low density and internal damping coefficient. They are vulnerable to some natural events such as wind and rain which may disrupt power transmission. Forced vibration due to external disturbances is one of the most frequent causes of failures in these lines. In this study, effects of tuned-massdampers (TMDs) on reduction of forced vibrations are investigated. A mathematical model for the transmission line is proposed by using mode summation technique combined with the dynamics of the absorbers. Best values for the location, stiffness and mass of the absorbers are found by using Particle Swarm Optimization algorithm (damping coefficients are obtained as zero). The objective of the algorithm is to minimize the line deflection to postpone the failure and the replacement of the lines. Results show that the designed TMDs are efficient in reduction of forced vibrations. Finally, the same procedure is implemented under resonance condition. The designed TMDs lead to a high reduction factor in the line deflection. Similarly, the proposed optimization algorithm can be used in other industrial applications of the flexible cables;under various external excitations.

关键词： Transmission lines Forced vibrations Linear and nonlinear models pso algorithm Tuned mass damper Optimum design

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pso-algorithm-Controlled Optimized Optical Equalizer for Bandwidth-Limited Transmitter and Receiver in Short-Reach PAM-4 Data Center Interconnects

PSO-Algorithm-Controlled Optimized Optical Equalizer for Ban...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Yan, Guofeng Wan, Yuanjian Yang, Min Zhou, Lei Li, Rui Tao, Minghui Wang, Jian Huazhong University of Science and Technology Optics Valley Laboratory Wuhan National Laboratory for Optoelectronics School of Optical and Electronic Information Wuhan China Central Research Institute 2012Labs Huawei Technologies Research and Planning Department Shenzhen China Central Research Institute 2012Labs Huawei Technologies Research and Planning Department Wuhan China

We present an adaptive integrated optical equalizer controlled by the particle swarm optimization (pso) algorithm for bandwidth-limited transceivers. The optical equalizer with optimized structure can provide an effic... 详细信息

ISBN: (纸本)9798350312614

关键词： Adaptive optical Equalizer PAM-4 signals pso algorithm

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