Suchergebnisse - "improved particle swarm algorithm"

Artificial Intelligence Based Spacecraft Resilience Optimization in Space Informatics Digital Twins

Autoren: Lyu, Zhihan, Dr. Guo, Jinkang Lou, Ranran et al.

Quelle: IEEE Transactions on Aerospace and Electronic Systems. 61(2):1834-1847

Schlagwörter: Optimization, Space vehicles, Trajectory, Aerodynamics, Heuristic algorithms, Neural networks, Elasticity, Artificial intelligence (AI), digital twins, improved particle swarm algorithm, spacecraft optimization, spatial information

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-556965

Error Analysis and Compensation of 3‒PTT Parallel Robot

Autoren: CHEN Mingfang LIANG Hongjian WEI Songpo et al.

Quelle: 工程科学与技术, Vol 57, Pp 290-302 (2025)

Schlagwörter: parallel robot, error analysis, error compensation, improved particle swarm algorithm, pose accuracy, Engineering (General). Civil engineering (General), TA1-2040, Hydraulic engineering, TC1-978

Dateibeschreibung: electronic resource

Relation: http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202300801; https://doaj.org/toc/2096-3246

Zugangs-URL: https://doaj.org/article/2e3073f964f94b25813523cbdc3a17e5

Optimisation Methods for Cold Chain Logistics Path Considering Carbon Emission Costs in Time-Varying Networks

Autoren: WANG, Zeyu CHEN, Fujian MO, Chengcheng

Quelle: Promet (Zagreb), Vol 36, Iss 6, Pp 1103-1119 (2024)
Promet-Traffic&Transportation
CODEN POMEEZ
Volume 36
Issue 6

Schlagwörter: Transportation engineering, TA1001-1280, path optimisation, carbon emission costs, cold chain logistics, improved particle swarm algorithm, time-varying networks

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/bc50008f9d644e64aaa329a5bc6ae63d
https://hrcak.srce.hr/324637
https://doi.org/10.7307/ptt.v36i6.735
https://hrcak.srce.hr/file/469314
https://doi.org/10.7307/ptt.v36i6.735
https://hrcak.srce.hr/324637

Application of improved particle swarm optimization algorithm combined with genetic algorithm in shear wall design

Autoren: Wei Gao

Quelle: Systems and Soft Computing, Vol 7, Iss , Pp 200198- (2025)

Schlagwörter: Genetic algorithm, Improved particle swarm algorithm, Architectural design, Shear wall, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S277294192500016X; https://doaj.org/toc/2772-9419

Zugangs-URL: https://doaj.org/article/c6ce3048f6364e6b9ba450e0447f254c

Predicting peak particle velocity in pre-splitting of gas-producing devices using improved particle swarm optimization algorithm

Autoren: Yawen Cao Rui Ma Keji Zhao et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Schlagwörter: Production appliance pre-splitting, Improved particle swarm algorithm, Relationship strength, Frequency, PPV prediction, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/b169d881070a4dc0a9049599bad39c54

Reserve-Optimized Transmission-Distribution Coordination in Renewable Energy Systems

Autoren: Li Chen Dan Zhou

Quelle: Energies, Vol 18, Iss 18, p 4802 (2025)

Schlagwörter: cooperative transmission and distribution scheduling, renewable energy consumption, reserve capacity optimization, reserve cost, improved particle swarm algorithm, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/18/4802; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/d2e39ce9c9f54c239f8d01dafd10c7a2

Optimization of Unmanned Excavator Operation Trajectory Based on Improved Particle Swarm Optimization

Autoren: Tingting Wang Xiaohui He Yunkang Zhou et al.

Quelle: Actuators, Vol 14, Iss 5, p 226 (2025)

Schlagwörter: unmanned excavator, improved particle swarm algorithm, operation trajectory planning, multi-objective optimization, Materials of engineering and construction. Mechanics of materials, TA401-492, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-0825/14/5/226; https://doaj.org/toc/2076-0825

Zugangs-URL: https://doaj.org/article/de1b7109d78641d8830a5c5c146a60dd

Research on diagnosis method of centrifugal pump rotor faults based on IPSO-VMD and RVM

Autoren: Liang Dong Zeyu Chen Runan Hua et al.

Quelle: Nuclear Engineering and Technology, Vol 55, Iss 3, Pp 827-838 (2023)

Schlagwörter: Centrifugal pump rotor faults, Improved particle swarm algorithm, TK9001-9401, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Kullback-Leibler divergence value, Nuclear engineering. Atomic power, Relevance vector machine, 02 engineering and technology, Variational modal decomposition, 7. Clean energy

Zugangs-URL: https://doaj.org/article/4735bffd4cea4ff49aec13ef40a36b04

Trajectory tracking of small torpedo-type unmanned surface vessel based on intelligent predictive control

Autoren: Yu WENG Qingjun ZENG Wei LI et al.

Quelle: Zhongguo Jianchuan Yanjiu, Vol 19, Iss 1, Pp 158-168 (2024)

Schlagwörter: unmanned surface vessel, trajectory tracking, intelligent predictive control, improved particle swarm algorithm, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1673-3185

Zugangs-URL: https://doaj.org/article/e1726d57235641e782f7810de492da0c

Hybrid Path Planning Model for Multiple Robots Considering Obstacle Avoidance

Autoren: Tianrui Zhang Jianan Xu Baoku Wu

Quelle: IEEE Access, Vol 10, Pp 71914-71935 (2022)

Schlagwörter: environment modeling, 03 medical and health sciences, artificial potential field algorithm, 0302 clinical medicine, formation control, Electrical engineering. Electronics. Nuclear engineering, Path planning, improved particle swarm algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/02b2c4385dc541b29aeb160e0f88b9cc

A Rotating Tidal Current Controller and Energy Router Siting and Capacitation Method Considering Spatio-Temporal Distribution

Autoren: Junqing Jia Jia Zhou Yuan Gao et al.

Quelle: Energies, Vol 17, Iss 23, p 5919 (2024)

Schlagwörter: active distribution network expansion planning, rotating current controller, energy router, improved particle swarm algorithm, second order cone planning, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/23/5919; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/a972c4334ea348f3be8ec06740ce4232

Impact of Energy System Optimization Based on Different Ground Source Heat Pump Models

Autoren: Yingjun Lai Yan Gao Yaping Gao

Quelle: Energies, Vol 17, Iss 23, p 6023 (2024)

Schlagwörter: ground source heat pump, improved particle swarm algorithm, day-ahead optimization, buried pipe, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/23/6023; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/d27a226fe59948bd892915de6d5ed9bd

A Novel Approach for Predicting CO 2 Emissions in the Building Industry Using a Hybrid Multi-Strategy Improved Particle Swarm Optimization–Long Short-Term Memory Model

Autoren: Yuyi Hu Bojun Wang Yanping Yang et al.

Quelle: Energies, Vol 17, Iss 17, p 4379 (2024)

Schlagwörter: carbon dioxide emission prediction, multi-strategy improved particle swarm algorithm, long short-term memory model, MSPSO-LSTM model, building industry, Technology

Relation: https://www.mdpi.com/1996-1073/17/17/4379; https://doaj.org/toc/1996-1073; https://doaj.org/article/7325e44d5d554261b8d510fb2c2718bb

Verfügbarkeit: https://doi.org/10.3390/en17174379
https://doaj.org/article/7325e44d5d554261b8d510fb2c2718bb

Multi-Objective Optimal Scheduling of Microgrids Based on Improved Particle Swarm Algorithm

Autoren: Zhong Guan Hui Wang Zhi Li et al.

Quelle: Energies, Vol 17, Iss 7, p 1760 (2024)

Schlagwörter: microgrid, multi-objective, improved particle swarm algorithm, optimal scheduling, Technology

Relation: https://www.mdpi.com/1996-1073/17/7/1760; https://doaj.org/toc/1996-1073; https://doaj.org/article/db39ebee4a28408fbb63c7237d89a6d2

Verfügbarkeit: https://doi.org/10.3390/en17071760
https://doaj.org/article/db39ebee4a28408fbb63c7237d89a6d2

Load forecasting of refrigerated display cabinet based on CEEMD–IPSO–LSTM combined model

Autoren: Zeng Qinghui Yuan Pei Lei Zhenglin et al.

Quelle: Open Physics, Vol 19, Iss 1, Pp 360-374 (2021)

Schlagwörter: food refrigerated display cabinet, Physics, QC1-999, load forecasting, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, improved particle swarm algorithm, complementary ensemble empirical mode decomposition

Zugangs-URL: https://www.degruyter.com/document/doi/10.1515/phys-2021-0043/pdf
https://doaj.org/article/42baa8f438984cc5886a444fae2b3c8f
http://ui.adsabs.harvard.edu/abs/2021OPhy...19...43P/abstract
https://www.degruyter.com/document/doi/10.1515/phys-2021-0043/pdf
https://www.degruyter.com/document/doi/10.1515/phys-2021-0043/html

Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars

Autoren: Zhang Fuxiang Zheng Yu Huang Yongjian et al.

Quelle: Jixie chuandong, Vol 46, Pp 49-54 (2022)

Schlagwörter: Labeling robot, Position optimization, Kinematic analysis, Monte Carlo method, Improved particle swarm algorithm, Mechanical engineering and machinery, TJ1-1570

Dateibeschreibung: electronic resource

Relation: http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.008; https://doaj.org/toc/1004-2539

Zugangs-URL: https://doaj.org/article/872ea22e20dc4de484ce599542a5ce39

Improved GA-PSO algorithm for feature extraction of rolling bearing vibration signal

Autoren: Hao Lixia

Quelle: Paladyn, Vol 14, Iss 1, Pp pp. 4645-4666 (2023)

Schlagwörter: rolling bearing, improved particle swarm algorithm, support vector machine, signal extraction, vibration signal, Technology

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2081-4836

Zugangs-URL: https://doaj.org/article/684e0d91268741a3a23e7b80bd269f9e

Operation Optimization of Medium-Depth Ground Source Heat Pump (MD-GSHP) Systems Based on the Improved Particle Swarm Algorithm

Autoren: Chao Zhu Biao Li Yueshe Wang et al.

Quelle: Applied Sciences, Vol 13, Iss 6, p 3821 (2023)

Schlagwörter: medium-depth ground source heat pump, buried pipe, improved particle swarm algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/6/3821; https://doaj.org/toc/2076-3417; https://doaj.org/article/af4b7bc29326450798768b02731482fe

Verfügbarkeit: https://doi.org/10.3390/app13063821
https://doaj.org/article/af4b7bc29326450798768b02731482fe

Optimization Strategy of Rolling Mill Hydraulic Roll Gap Control System Based on Improved Particle Swarm PID Algorithm

Autoren: Ying Yu Ruifeng Zeng Yuezhao Xue et al.

Quelle: Biomimetics, Vol 8, Iss 2, p 143 (2023)

Schlagwörter: PLC, medium and thick plates, roll gap control, improved particle swarm algorithm, semi-physical simulation, Technology

Relation: https://www.mdpi.com/2313-7673/8/2/143; https://doaj.org/toc/2313-7673; https://doaj.org/article/d80abc1c4aff415d99738fb9cb390515

Verfügbarkeit: https://doi.org/10.3390/biomimetics8020143
https://doaj.org/article/d80abc1c4aff415d99738fb9cb390515

Comfort Study of General Aviation Pilot Seats Based on Improved Particle Swam Algorithm (IPSO) and Support Vector Machine Regression (SVR)

Autoren: Mengyang Zhang Xuyinglong Zhang Shan Gao et al.

Quelle: Applied Sciences, Vol 13, Iss 15, p 9038 (2023)

Schlagwörter: comfort, support vector machine regression, improved particle swarm algorithm, LASSO regression, predictive model, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/15/9038; https://doaj.org/toc/2076-3417; https://doaj.org/article/270aed211e52456a9502444f37d85f15

Verfügbarkeit: https://doi.org/10.3390/app13159038
https://doaj.org/article/270aed211e52456a9502444f37d85f15