Výsledky vyhľadávania - "particle swarm optimisation algorithm"

Construction Project Cost Prediction Method Based on Improved BiLSTM

Autori: Chaoxue Wang Jiale Qiao

Zdroj: Applied Sciences, Vol 14, Iss 3, p 978 (2024)

Predmety: construction cost prediction, particle swarm optimisation algorithm, attention mechanism, bidirectional extended short-term memory network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/3/978; https://doaj.org/toc/2076-3417; https://doaj.org/article/b2dd9d40552743ce879f9e68c47c30ec

Dostupnosť: https://doi.org/10.3390/app14030978
https://doaj.org/article/b2dd9d40552743ce879f9e68c47c30ec

State-of-charge estimation for Lithium-Ion batteries using Kalman filters based on fractional-order models

Autori: Bing Gong Menglong Zhang Likun Xing a ďalší

Zdroj: Connection Science, Vol 34, Iss 1, Pp 162-184 (2022)

Predmety: lithium-ion batteries, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, kalman filter, Information technology, 02 engineering and technology, fractional calculus, particle swarm optimisation algorithm, T58.5-58.64, 7. Clean energy, state-of-charge

Prístupová URL adresa: https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.1978930?needAccess=true
https://doaj.org/article/ce655f127dec456aa477889197539079
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.1978930

Global Source Optimisation Based on Adaptive Nonlinear Particle Swarm Optimisation Algorithm for Inverse Lithography

Autori: Haifeng Sun Jing Du Chuan Jin a ďalší

Zdroj: IEEE Photonics Journal, Vol 13, Iss 4, Pp 1-7 (2021)

Predmety: adaptive nonlinear control strategy, inverse lithography techniques, Source optimisation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Applied optics. Photonics, QC350-467, 02 engineering and technology, Optics. Light, particle swarm optimisation algorithm, TA1501-1820

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/4563994/9470958/09508817.pdf
https://doaj.org/article/bd53924fffe94a2b9af975709cfd3cd0
https://ieeexplore.ieee.org/document/9508817
http://ui.adsabs.harvard.edu/abs/2021IPhoJ..1302229S/abstract

Techno‐economic potential of battery energy storage systems in frequency response and balancing mechanism actions

Autori: Desen Kirli Aristides Kiprakis

Zdroj: The Journal of Engineering (2020)
Kirli, D & Kiprakis, A 2020, ' Techno–economic Potential of Battery Energy Storage Systems in Frequency Response and Balancing Mechanism Actions ', Journal of Engineering . https://doi.org/10.1049/joe.2019.1053

Predmety: optimisation, battery storage plants, 0211 other engineering and technologies, dynamic degradation, regulation services, 02 engineering and technology, dynamic lifetime degradation, battery employment, 7. Clean energy, grid infrastructures, economic analysis, national grid, secondary cells, dynamic modelling, Batteries, Frequency response, pricing, techno-economic potential, 0202 electrical engineering, electronic engineering, information engineering, profitability, sophisticated battery models, service participation, scheduling, smart grid, lower technical toll, particle swarm optimisation, power generation economics, optimal despatch schedule, price declarations, energy storage, highest profit, economic benefit, Engineering (General). Civil engineering (General), smart power grids, flexibility, dynamic frequency, balancing mechanism actions, technical cost, rigorous optimisation, optimum scenario, battery energy storage systems, TA1-2040, particle swarm optimisation algorithm, ordinarily frequency response

Popis súboru: application/pdf

Prístupová URL adresa: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2019.1053
https://doaj.org/article/38b3761f06d44fed8f612d2053e74e42
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1053
https://www.research.ed.ac.uk/en/publications/technoeconomic-potential-of-battery-energy-storage-systems-in-fre
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2019.1053
https://www.pure.ed.ac.uk/ws/files/142301779/Kirli_Kiprakis_BESS_manuscript.pdf
https://hdl.handle.net/20.500.11820/3c23f0d2-ce52-4dd4-84d3-d4f22d901493

Path planning of autonomous agricultural machineries in complex rural road

Autori: Feng Wei Xianfeng Zhang Ping Li a ďalší

Zdroj: The Journal of Engineering (2020)

Predmety: 02 engineering and technology, Engineering (General). Civil engineering (General), autonomous machinery, machinery dynamic model, traditional particle swarm optimisation, model predictive control algorithm, agricultural machinery, nonlinear dynamic inertia weight, 0202 electrical engineering, electronic engineering, information engineering, road boundary force, autonomous agricultural machinery, collision avoidance, TA1-2040, particle swarm optimisation algorithm, path planning, predictive control, particle swarm optimisation, collision avoidance problem

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2019.0840
https://doaj.org/article/09d5f38aadd246e1a49a4b971f44dd4f
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0840
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2019.0840
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0840

A Cotton Leaf Water Potential Prediction Model Based on Particle Swarm Optimisation of the LS-SVM Model

Autori: Yonglin Gao Tiebiao Zhao Zhong Zheng a ďalší

Zdroj: Agronomy, Vol 13, Iss 12, p 2929 (2023)

Predmety: leaf water potential, Crop Water Stress Index, least squares support vector machine, unmanned aerial vehicle, particle swarm optimisation algorithm, Agriculture

Relation: https://www.mdpi.com/2073-4395/13/12/2929; https://doaj.org/toc/2073-4395; https://doaj.org/article/9ba4e2e48d0145f6aa3e1aaf2fdc03b9

Dostupnosť: https://doi.org/10.3390/agronomy13122929
https://doaj.org/article/9ba4e2e48d0145f6aa3e1aaf2fdc03b9

Nature‐inspired waveform optimisation for range spread target detection in cognitive radar

Autori: Qing Wang Kaiming Li Lirong Gao a ďalší

Zdroj: The Journal of Engineering (2019)

Predmety: search problems, cognitive radar, optimisation, probability, modified particle swarm optimisation algorithm, kalman filters, target scattering coefficients, object detection, novel nature-inspired waveform optimisation framework, waveform optimisation problem, range spread target detection, 02 engineering and technology, Engineering (General). Civil engineering (General), nature-inspired algorithms, nature-inspired waveform optimisation approach, beetle antennae search algorithm, antenna arrays, 0202 electrical engineering, electronic engineering, information engineering, radar detection, range-spread target detection, TA1-2040, particle swarm optimisation, semidefinite relaxation technique

Prístupová URL adresa: https://doaj.org/article/080ead0b1a4346a48efdbf585265ae79
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0527
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2019.0527
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0527

Prediction‐based PSO algorithm for MIMO radar antenna deployment in dynamic environment

Autori: Guolong Cui Tianxian Zhang Lingjiang Kong a ďalší

Zdroj: The Journal of Engineering (2019)

Predmety: dynamic environment, optimisation, multiobjective particle swarm optimisation algorithm, antenna deployment problem, multiple regions, 02 engineering and technology, radar antennas, prediction strategy, exact optimal solutions, predicted solutions, time period, previous information, mimo radar antenna deployment, previous optimal information, optimal algorithm, 0202 electrical engineering, electronic engineering, information engineering, particle swarm optimisation, mopso-ar method, prediction-based pso algorithm, autoregressive prediction model, Engineering (General). Civil engineering (General), mimo radar systems, time interval, pso method, mimo radar, pso optimisation, TA1-2040, temporally optimal solutions, static problem, current deployment schemes

Prístupová URL adresa: https://doaj.org/article/97f8ce9f1fcf4a9abda9d0bf4877396c
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0188

Resource allocation of radar network based on particle swarm optimisation

Autori: Quahua Liu Ke Li Lun Tian a ďalší

Zdroj: The Journal of Engineering (2019)

Predmety: modified particle swarm optimisation algorithm, resource allocation, 02 engineering and technology, modified pso, Engineering (General). Civil engineering (General), discrete variables, 12. Responsible consumption, radar theory, resource allocation mathematic model, 0202 electrical engineering, electronic engineering, information engineering, radar network, TA1-2040, continuous variables, particle swarm optimisation

Prístupová URL adresa: https://doaj.org/article/de3fe914e762418fbb175e5d285961b8
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0130

PAPR reduction in OFDM using scaled particle swarm optimisation based partial transmit sequence technique

Autori: Sanjana Prasad Ramesh Jayabalan

Zdroj: The Journal of Engineering (2019)

Predmety: velocity updating equation, OFDM modulation, 02 engineering and technology, conventional particle swarm optimisation, scaled particle swarm optimisation algorithm, quadrature amplitude modulation, scaled PSO-PTS algorithm, partial transmit sequence technique, 0202 electrical engineering, electronic engineering, information engineering, lower computational complexity, particle swarm optimisation, inertia weight, computational complexity, faster convergence rate, exhaustive searching, PAPR reduction, Engineering (General). Civil engineering (General), peak-to-average power ratio, higher computational complexity, (OFDM) systems, scaling factor, effective techniques, orthogonal frequency division, TA1-2040, optimal phase factors, PTS technique, PAPR effectively

Prístupová URL adresa: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2018.5340
https://doaj.org/article/9e6b070df99f449aa1829213630bb969
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5340
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2018.5340

Energy storage device locating and sizing based on power electronic transformer

Autori: Qi Geng Yan Hu

Zdroj: The Journal of Engineering (2019)

Predmety: bi-level programming model, photovoltaic power systems, energy storage, 02 engineering and technology, power grids, Engineering (General). Civil engineering (General), 7. Clean energy, power electronic transformer, power transformers, energy routing strategy, grid-connected photovoltaic, 0202 electrical engineering, electronic engineering, information engineering, TA1-2040, bi-directional energy flow, particle swarm optimisation, improved particle swarm algorithm, energy storage device, improved particle swarm optimisation algorithm

Prístupová URL adresa: https://doaj.org/article/84e34ee998834cf1be3dc63fe6ba0ce6
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8773

Research on islanding partition algorithm for the multi‐microgrids

Autori: Zhang Wei Peng Jiajun Jie Zeng a ďalší

Zdroj: The Journal of Engineering (2019)

Predmety: adjacent microgrids, power generation control, hierarchical control architecture, islanding MMG topology, islanding partition method algorithm, 02 engineering and technology, discrete particle swarm optimisation algorithm, Engineering (General). Civil engineering (General), multimicrogrids, multiple operation modes, distributed power generation, single-phase architecture, 0202 electrical engineering, electronic engineering, information engineering, three-phase architecture, TA1-2040, TP-SP architecture, islanding partition algorithm, particle swarm optimisation, power generation faults

Prístupová URL adresa: https://doaj.org/article/8f61d5653e234ac3b5a02a3f4ad05a38
https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8395

An efficient cloudlet scheduling via bin packing in cloud computing

Autori: Amine Chraibi Said Ben Alla Abdellah Ezzati

Predmety: Bin packing problem, Cloud computing, CloudSim, Particle swarm optimisation algorithm, Task scheduling

Relation: https://zenodo.org/records/6767315; oai:zenodo.org:6767315

Dostupnosť: https://doi.org/10.11591/ijece.v12i3.pp3226-3237
https://zenodo.org/records/6767315

Power system stabiliser PSS4B‐W parameters optimisation and RTDS test verification

Autori: Shoushou Zhang Hui Li Weijun Zhu a ďalší

Zdroj: The Journal of Engineering (2019)

Predmety: RTDS platform, semiphysical simulation system, optimisation, 0211 other engineering and technologies, 02 engineering and technology, PCS-9410 excitation regulator, Engineering (General). Civil engineering (General), time-domain analysis, RTDS test verification, genetic algorithms, inverse-regulation suppression effect, power system stabiliser PSS4B-W parameter optimisation, power system stability, parameters optimisation process, genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, inequality constraint, time-domain dynamic response, TA1-2040, particle swarm optimisation algorithm, excitation system phase frequency characteristic, particle swarm optimisation, mathematical model, dynamic response

Prístupová URL adresa: https://doaj.org/article/46cb162a5a544e479aa67ca879a04b9f
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8503

Realising the decomposition of a multi‐frequency signal under the coloured noise background by the adaptive stochastic resonance in the non‐linear system with periodic potential

Autori: Huang, Xiaogang Zhang, Jingling Lv, Meilei a ďalší

Zdroj: IET Signal Processing. 12:930-936

Predmety: signal‐to‐noise ratio, B0260 Optimisation techniques, multifrequency signal decomposition, signal processing problems, nonlinear system, 01 natural sciences, C1260S Signal processing theory, Engineering, 0103 physical sciences, EMD method, random particle swarm optimisation algorithm, particle swarm optimisation, adaptive signal processing, periodic potential system, adaptive stochastic resonance, C1180 Optimisation techniques, B6140 Signal processing and detection, random processes, classic bistable system, B0240Z Other topics in statistics, C1140Z Other topics in statistics, coloured noise background, stochastic processes, empirical mode decomposition method, nonlinear systems, Electrical Engineering

Popis súboru: application/pdf

Prístupová URL adresa: http://deepblue.lib.umich.edu/bitstream/2027.42/163832/1/sil2bf00663.pdf
https://ieeexplore.ieee.org/document/8454417
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-spr.2017.0532
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-spr.2017.0532
https://doi.org/10.1049/iet-spr.2017.0532
https://dblp.uni-trier.de/db/journals/iet-spr/iet-spr12.html#HuangZLSY18
https://deepblue.lib.umich.edu/handle/2027.42/163832

Improved SNR to detect the unknown characteristic frequency by SR

Autori: Zhang, Jingling Yang, Jianhua Liu, Houguang a ďalší

Zdroj: IET Science, Measurement & Technology. 12:795-801

Predmety: general scale transformation, mechanical engineering computing, signal denoising, machine bearings, advance, 02 engineering and technology, adaptive SR, (B0260) Optimisation techniques, 01 natural sciences, 0201 civil engineering, Engineering, unknown characteristic frequency, stochastic resonance, random particle swarm optimisation algorithm, signal processing, particle swarm optimisation, (B0240Z) Other topics in statistics, accuracy frequency, (E2210) Mechanical components, (B6140) Signal processing and detection, fault diagnosis, simulation, improved signal‐to‐noise ratio, experimental bearing fault signals, 0104 chemical sciences, accuracy characteristic frequency, classic SNR index, signal processing issues, stochastic processes, classic evaluation index, (C1180) Optimisation techniques, Electrical Engineering

Popis súboru: application/pdf

Prístupová URL adresa: http://deepblue.lib.umich.edu/bitstream/2027.42/166241/1/smt2bf00608.pdf
https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2018.0046
https://deepblue.lib.umich.edu/handle/2027.42/166241
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-smt.2018.0046

Optimising operation management for multi‐micro‐grids control

Autori: Teerawat Kumrai Kaoru Ota Mianxiong Dong a ďalší

Zdroj: IET Cyber-Physical Systems (2018)

Predmety: game theory, Computer engineering. Computer hardware, power generation control, power system management, battery storage plants, total energy expenses reduction, 0211 other engineering and technologies, MG central controller, 02 engineering and technology, multi microgrids control, pollutant emissions, 7. Clean energy, genetic algorithms, speed-constrained multiobjective particle swarm optimisation, TK7885-7895, battery energy storage, distributed power generation, FMGPSO algorithm, multiobjective covariance matrix adaptation evolution strategy, wind turbines, operation management optimisation, 0202 electrical engineering, electronic engineering, information engineering, renewable energy sources, particle swarm optimisation, photovoltaic power systems, photovoltaic units, nondominated sorting genetic algorithm-III, covariance matrices, QA75.5-76.95, wind turbine units, Electronic computers. Computer science, multi mMG system, fitness-based modified game particle swarm optimisation algorithm

Prístupová URL adresa: https://doaj.org/article/421a16011e8545df960dad459f17f63e
https://dblp.uni-trier.de/db/journals/iet-cps/iet-cps3.html#KumraiODSK18
https://doi.org/10.1049/iet-cps.2017.0079
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cps.2017.0079
https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0079

Real-time control of a laboratory heat exchanger using the particle swarm optimisation algorithm

Autori: Coelho, João Paulo Cunha, José Boaventura Oliveira, Paulo de Moura a ďalší

Prispievatelia: Coelho, João Paulo Cunha, José Boaventura Oliveira, Paulo de Moura a ďalší

Predmety: Real-time control, Model predictive control, Particle swarm optimisation algorithm

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10198/2749

Soft computing applied to the build of textile defects inspection system

Autori: Saad M. Darwish

Zdroj: IET Computer Vision, Vol 7, Iss 5, Pp 373-381 (2013)

Predmety: QA76.75-76.765, defects recognition problem, Computer applications to medicine. Medical informatics, soft computing, textile defect inspection system, R858-859.7, 0202 electrical engineering, electronic engineering, information engineering, Computer software, 02 engineering and technology, textile industries, interval type-2 fuzzy reasoning system, particle swarm optimisation algorithm

Prístupová URL adresa: https://doaj.org/article/9ecf1ce6825047169e1c57cd82adfda7
https://dblp.uni-trier.de/db/journals/iet-cvi/iet-cvi7.html#Darwish13
https://ieeexplore.ieee.org/document/6654687/
https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2012.0125
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-cvi.2012.0125
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cvi.2012.0125

Design of the fractional order internal model controller using the swarmintelligence techniques for the coupled tank system

Autori: VAVILALA, SATEESH KUMAR THIRUMAVALAVAN, VINOPRABA THOTA, RADHAKRISHNAN a ďalší

Zdroj: Turkish Journal of Electrical Engineering and Computer Sciences

Predmety: Fractional order internal model controller, particle swarm optimisation algorithm, higher order fractionalfilter, coupled tank system, Computer Engineering, Computer Sciences, Electrical and Computer Engineering

Popis súboru: application/pdf

Relation: https://journals.tubitak.gov.tr/elektrik/vol29/iss2/46; https://journals.tubitak.gov.tr/context/elektrik/article/1168/viewcontent/elk_29_2_46_2005_17.pdf

Dostupnosť: https://journals.tubitak.gov.tr/elektrik/vol29/iss2/46
https://doi.org/10.3906/elk-2005-17
https://journals.tubitak.gov.tr/context/elektrik/article/1168/viewcontent/elk_29_2_46_2005_17.pdf