Suchergebnisse - "Swarm Intelligence Optimization Algorithm"

Application of improved discrete marine predatiors algorithm in network cost optimization

Autoren: GAO Ming SHEN Yicheng LIU Ming

Quelle: Dianxin kexue, Vol 41, Pp 86-100 (2025)

Schlagwörter: multi-cloud network, cloud native, secondary distribution, swarm intelligence optimization algorithm, Telecommunication, TK5101-6720, Technology

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1000-0801

Zugangs-URL: https://doaj.org/article/30906209470d4b9cbc6c98e6ea262116

Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models

Autoren: Qingguo Yang Honghu Wang Qigui Yi et al.

Quelle: Case Studies in Construction Materials, Vol 23, Iss , Pp e04995- (2025)

Schlagwörter: Freeze-thaw cycles（FTC）, Basalt fiber concrete (BFC), Long short-term memory (LSTM), Swarm intelligence optimization algorithm (SIOA), Performance prediction, Materials of engineering and construction. Mechanics of materials, TA401-492

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214509525007934; https://doaj.org/toc/2214-5095

Zugangs-URL: https://doaj.org/article/e9afda803b3d4b34a040d350461926e5

Prognostic assessment and intelligent prediction system for breast reduction surgery using improved swarm intelligence optimization

Autoren: Zhiwei Cui Zhen Liang Chaohua Liu et al.

Quelle: Frontiers in Medicine, Vol 12 (2025)

Schlagwörter: breast reduction surgery, improved swarm intelligence optimization algorithm, AutoML, postoperative complication prediction, quality of life assessment, intelligent prediction system, Medicine (General), R5-920

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fmed.2025.1653201/full; https://doaj.org/toc/2296-858X

Zugangs-URL: https://doaj.org/article/7e3b410dc3654e0c8c0367c6f4e1abff

Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model

Autoren: Yi Zhang Pengtao Liu Yingying Xu et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Schlagwörter: Swarm intelligence optimization algorithm, Enhanced crayfish optimization algorithm, BiTCN-BiLSTM model, Hyperparameter optimization, Dew volume prediction, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/05b8ccf331db450ea204d7d411131319

Balanced dung beetle optimization algorithm based on parameter substitution and escape strategy

Autoren: Chen-Xu Tian Yu-Xuan Li

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-29 (2025)

Schlagwörter: Dung beetle optimization algorithm, Swarm intelligence optimization algorithm, Parameter substitution, Exploitation potential, Escape strategy, MPPT, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/095bd281ace5455583bedecabba89597

Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm

Autoren: LIU Li-jun LIN Ying-hai SU Yong-hui et al.

Quelle: 工程科学与技术, Pp 1-10 (2025)

Schlagwörter: Multi-Objective Modified Directional Bat Algorithm, Structural Damage Identification, Structural Parameter Identification, Swarm Intelligence Optimization Algorithm, 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.202400842; https://doaj.org/toc/2096-3246

Zugangs-URL: https://doaj.org/article/eb3809437f724bf090a9df73358d2848

RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review

Autoren: Wang Yejiao Hazalila Kamaludin Nayef Abdulwahab Mohammed Alduais et al.

Quelle: IEEE Access, Vol 12, Pp 64980-64996 (2024)

Schlagwörter: RFID network planning, 0209 industrial biotechnology, Smart factory, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK Electrical engineering. Electronics Nuclear engineering, swarm intelligence optimization algorithm, TK1-9971

Dateibeschreibung: text

Zugangs-URL: https://doaj.org/article/570d4d7ba4044a7da44e0af28bfee93d

Combined Hybrid Neural Networks and Swarm Intelligence Optimization Algorithms for Photovoltaic Panel Segmentation From Remote Sensing Images

Autoren: Xiaoqing Zhang Qingqing Qi Weike Liu

Quelle: IEEE Access, Vol 12, Pp 75941-75950 (2024)

Schlagwörter: 02 engineering and technology, 01 natural sciences, 7. Clean energy, semantic segmentation, swarm intelligence optimization algorithm, TK1-9971, 13. Climate action, transformer, 0202 electrical engineering, electronic engineering, information engineering, remote sensing image, Electrical engineering. Electronics. Nuclear engineering, Photovoltaic panel extraction, CNN, 0105 earth and related environmental sciences

Zugangs-URL: https://doaj.org/article/58e3e961c0164ec992545da47ec82608

Optimization Technology of Combustion Engine Control Based on Swarm Intelligent Optimization Algorithm and Improved Clustering Algorithm

Autoren: Jiadong Wang Ming Zhang Jinfeng Li

Quelle: IEEE Access, Vol 12, Pp 121596-121609 (2024)

Schlagwörter: clustering algorithm, fireworks algorithm, Combustion engine, fuzzy logic, Electrical engineering. Electronics. Nuclear engineering, control, swarm intelligence optimization algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/30eead5ce2184ba49499394a044e30ef

A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems

Autoren: Shuxin Wang Yinggao Yue Shaotang Cai et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)

Schlagwörter: Photovoltaic energy storage system, Battery energy storage, Optimal scheduling, Swarm intelligence optimization algorithm, Application, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/ba9bb893645946caac676834ed60a689

A Method for Detecting Overlapping Protein Complexes Based on an Adaptive Improved FCM Clustering Algorithm

Autoren: Caixia Wang Rongquan Wang Kaiying Jiang

Quelle: Mathematics ; Volume 13 ; Issue 2 ; Pages: 196

Schlagwörter: protein–protein interaction network, protein complexes, fuzzy clustering algorithm, density peaks clustering algorithm, parameter optimization, swarm intelligence optimization algorithm

Dateibeschreibung: application/pdf

Relation: E3: Mathematical Biology; https://dx.doi.org/10.3390/math13020196

Verfügbarkeit: https://doi.org/10.3390/math13020196

Dynamic Bayesian network structure learning based on an improved bacterial foraging optimization algorithm

Autoren: Guanglei Meng Zelin Cong Tingting Li et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)

Schlagwörter: Dynamic Bayesian networks, Structural learning, Swarm intelligence optimization algorithm, Bacterial foraging optimization algorithm, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/5c6ac8659d45402c8f9e7ad96d17325e

Improved combined system and application to precipitation forecasting model

Autoren: Wenyu Zhang Menggang Kou Mengzheng Lv et al.

Quelle: Alexandria Engineering Journal, Vol 61, Iss 12, Pp 12739-12757 (2022)

Schlagwörter: Precipitation combined forecasting model, 13. Climate action, Regions of the arid/semi-arid, 0207 environmental engineering, Data original feature extraction, 02 engineering and technology, TA1-2040, Improved swarm intelligence optimization algorithm, Engineering (General). Civil engineering (General), 01 natural sciences, 0105 earth and related environmental sciences

Zugangs-URL: https://doaj.org/article/d1051339789b4572878c5f71f9f8af04

Analysis of photovoltaic array maximum power point tracking under uniform environment and partial shading condition: A review

Autoren: Jianlin Li Yiwen Wu Suliang Ma et al.

Quelle: Energy Reports, Vol 8, Iss, Pp 13235-13252 (2022)

Schlagwörter: Maximum power-point tracking, Swarm intelligence optimization algorithm, Partially shaded conditions, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Photovoltaic mathematical model, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, Uniform environment condition, TK1-9971

Zugangs-URL: https://doaj.org/article/5798deae263f4a5e9fbaacf41e1cc420

The analysis and re-optimization of food systems by using intelligent optimization algorithms and machine learning

Autoren: Xu Wang

Quelle: All Life, Vol 15, Iss 1, Pp 656-677 (2022)

Schlagwörter: 0301 basic medicine, 2. Zero hunger, neural network, multiple regression analysis, 02 engineering and technology, re-optimizing food systems, coupling degree evaluation model, swarm intelligence optimization algorithm, 12. Responsible consumption, 03 medical and health sciences, Life, QH501-531, 0202 electrical engineering, electronic engineering, information engineering, TP248.13-248.65, Biotechnology

Zugangs-URL: https://doaj.org/article/d662f47806f6420c9187671c3f46f4a8

Two-stage feature selection for classification of gene expression data based on an improved Salp Swarm Algorithm

Autoren: Xiwen Qin Shuang Zhang Dongmei Yin et al.

Quelle: Mathematical Biosciences and Engineering, Vol 19, Iss 12, Pp 13747-13781 (2022)

Schlagwörter: Support Vector Machine, Gene Expression, 02 engineering and technology, cancer classification, swarm intelligence optimization algorithm, Machine Learning, high-dimensional data, feature selection, gene expression data, Neoplasms, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, Humans, TP248.13-248.65, Mathematics, Algorithms, Biotechnology

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36654066
https://doaj.org/article/fbd22ff5f55d40cab86ef4d59fa1dd5a

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

Autoren: Guo Lei Xu Chang Yu Tianhang et al.

Quelle: IEEE Access, Vol 10, Pp 36335-36349 (2022)

Schlagwörter: hydro-turbine governor, PID parameters, 0202 electrical engineering, electronic engineering, information engineering, median position, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, group diversity, Mayfly algorithm, swarm intelligence optimization algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/4ca870348a794517b35bc0b96d299a6d

Digital twin modeling and intelligent optimization for rail operation safety assessment

Autoren: Wang Ling Chen Xiang Ding Feng

Quelle: International Journal for Simulation and Multidisciplinary Design Optimization, Vol 15, p 2 (2024)

Schlagwörter: operational safety, train, digital twin technology, power supply trend, swarm intelligence optimization algorithm, passenger load, Industrial engineering. Management engineering, T55.4-60.8, Industrial directories, T11.95-12.5

Relation: https://www.ijsmdo.org/articles/smdo/full_html/2024/01/smdo230056/smdo230056.html; https://doaj.org/toc/1779-6288; https://doaj.org/article/4e4a7ca7025f4337934f6c5256a7614d

Verfügbarkeit: https://doi.org/10.1051/smdo/2024002
https://doaj.org/article/4e4a7ca7025f4337934f6c5256a7614d

Inversion Study on Landslide Seepage Field Based on Swarm Intelligence Optimization Least-Square Support Vector Machine Algorithm

Autoren: Xuan Tang Chong Shi Yuming Zhang

Quelle: Applied Sciences, Vol 14, Iss 13, p 5822 (2024)

Schlagwörter: permeability coefficient, reservoir landslides, LSSVM, swarm intelligence optimization algorithm, parameter inversion, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/13/5822; https://doaj.org/toc/2076-3417; https://doaj.org/article/50ad218066ba4f76b099835a360c11ae

Verfügbarkeit: https://doi.org/10.3390/app14135822
https://doaj.org/article/50ad218066ba4f76b099835a360c11ae

A Deep Reinforcement Learning-Based Algorithm for Multi-Objective Agricultural Site Selection and Logistics Optimization Problem

Autoren: Huan Liu Jizhe Zhang Zhao Zhou et al.

Quelle: Applied Sciences, Vol 14, Iss 18, p 8479 (2024)

Schlagwörter: deep reinforcement learning, Vehicle Routing Problem, location problem, swarm intelligence optimization algorithm, fresh agricultural product supply chain, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/18/8479; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/ec79b8ab5434448aa55176974ee48286