Suchergebnisse - "Swarm Intelligence Optimization Algorithms"

A Study on the Thermal Deformation Prediction Model of a Motorized Spindle Based on Swarm Intelligence Optimization Algorithms

Autoren: Wei Wei Ruizhe Wang

Quelle: 2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE). :367-372

Research on Early Diagnosis Methods for Broiler Chicken Diseases Based on Swarm Intelligence Optimization Algorithms and Random Forest

Autoren: X Peng C Chen L Yu et al.

Quelle: Brazilian Journal of Poultry Science, Vol 27, Iss 2 (2025)

Schlagwörter: dung beetle optimization, QL1-991, Veterinary medicine, SF600-1100, Broiler diseases, whale optimization algorithm, SF1-1100, Zoology, random forest, Animal culture

Zugangs-URL: https://doaj.org/article/79586e3052e744d194290760b3cc20e6

The Application and Development of Swarm Intelligence Optimization Algorithms in the Oil and Gas Industry

Autoren: Yue-wen Xiong Hai-yun Xiang Hong-nan Yang et al.

Quelle: Springer Series in Geomechanics and Geoengineering ISBN: 9789819647583

Ketosis diagnosis prediction in dairy cows using prenatal indicators and extreme learning machine optimized with swarm intelligence optimization algorithms

Autoren: Mustafa Can Bingol

Quelle: Computers and Electronics in Agriculture. 237:110573

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 Study of Gas Supply Pipeline Systems Based on Swarm Intelligence Optimization Algorithms

Autoren: Li Dai Chao Xu Yiqun Liu et al.

Quelle: Applied Sciences, Vol 15, Iss 19, p 10838 (2025)

Schlagwörter: gas supply networks, error correction, pressure distribution, gray wolf optimizer, zebra optimization algorithm, 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/2076-3417/15/19/10838; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/346183926c6d4893a00a862b74f360ad

Using swarm intelligence optimization algorithms to predict the height of fractured water-conducting zone

Autoren: Dekang Zhao Zhenghao Li Guorui Feng et al.

Quelle: Energy Exploration & Exploitation, Vol 41 (2023)

Schlagwörter: TK1001-1841, Production of electric energy or power. Powerplants. Central stations, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, TJ807-830, 02 engineering and technology, Renewable energy sources

Zugangs-URL: https://doaj.org/article/077a5d2b7e624b3cb6a4d691dd798e2e

Integration of Swarm Intelligence Optimization Algorithms Based on Entropy and Error

Autoren: Mansour Hadizadeh Abbas Koochari Arash Sharifi

Parameter tuning in modeling and simulations by using swarm intelligence optimization algorithms

Autoren: Tan, Rabia Korkmaz Bora, Sebnem Koyuncu, B et al.

Weitere Verfasser: Tan, Rabia Korkmaz Bora, Sebnem Koyuncu, B et al.

Quelle: 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN). :148-152

Schlagwörter: Particle swarm optimization, Modeling and Simulation, Parameter tuning, 0202 electrical engineering, electronic engineering, information engineering, Firefly algorithms, 02 engineering and technology, Swarm Intelligence Optimization Algorithms, PArticle swarm optimization

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8319375
http://xplorestaging.ieee.org/ielx7/8315083/8319343/08319375.pdf?arnumber=8319375
https://hdl.handle.net/11454/15964
https://doi.org/10.1109/CICN.2017.8319375
https://hdl.handle.net/11454/32568
https://doi.org/10.1109/CICN.2017.34

Study on bionics-based swarm intelligence optimization algorithms for wavelength selection in near-infrared spectroscopy

Autoren: Tingze Long Han Yi Yatong Kang et al.

Quelle: Infrared Physics & Technology. 143:105594

A survey on several new popular swarm intelligence optimization algorithms

Autoren: Xiuxi Wei Huajuan Huang

Prediction Model for Complex Process Based on Adaptive Neural Fuzzy Inference System Optimized by Swarm Intelligence Optimization Algorithms.

Autoren: Bing Yan Cheng Xing Jie-Sheng Wang et al.

Quelle: Engineering Letters. Jan2025, Vol. 33 Issue 1, p48-58. 11p.

Schlagwörter: *OPTIMIZATION algorithms, *FUZZY logic, *SWARM intelligence, *WIRELESS sensor networks, *FUZZY systems, *INTRUSION detection systems (Computer security), *PARTICLE swarm optimization

Prediction of the Height of Fractured Water-Conducting Zone Using Swarm Intelligence Optimization Algorithms

Autoren: Dekang Zhao Zhenghao Li Guorui Feng et al.

On the Performance of Swarm Intelligence Optimization Algorithms for Phase Stability and Liquid-Liquid and Vapor-Liquid Equilibrium Calculations

Autoren: Seif‐Eddeen K. Fateen Adrián Bonilla-Petriciolet

Quelle: Periodica Polytechnica Chemical Engineering. 59:186-200

Schlagwörter: Optimization, Swarm intelligence, Firefly algorithm, 02 engineering and technology, Liquid phase, Engineering, Artificial Intelligence, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Firefly Algorithm, Swarm Intelligence Optimization Algorithms, State-of-the-Art in Process Optimization under Uncertainty, 0204 chemical engineering, Stability (learning theory), Particle swarm optimization, Physics, Optimization Applications, Mathematical optimization, Cuckoo search, Computer science, Algorithm, Stability Analysis, Model Predictive Control in Industrial Processes, Control and Systems Engineering, Particle Swarm Optimization, Computer Science, Physical Sciences, Thermodynamics, Mathematics

Zugangs-URL: https://pp.bme.hu/ch/article/download/7636/6589
http://works.bepress.com/cgi/viewcontent.cgi?article=1386&context=adrian_bonilla_petriciolet
http://periodicapolytechnica.org/ch/article/view/7636
http://www.pp.bme.hu/ch/article/download/7636/6589

A Comparative Study of Six Hybrid Prediction Models for Uniaxial Compressive Strength of Rock Based on Swarm Intelligence Optimization Algorithms

Autoren: Yu Lei Shengtao Zhou Xuedong Luo et al.

Quelle: Frontiers in Earth Science, Vol 10 (2022)

Schlagwörter: Science, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, rock, 02 engineering and technology, BP neural network, uniaxial compressive strength, normalized mutual information, swarm intelligence optimization algorithm

Zugangs-URL: https://doaj.org/article/bb8b94d0ea5443a7abfb2bc3fdbc7903

Microscopic Image Segmentation Based on Swarm Intelligence Optimization Algorithms

Autoren: Selen Ayas Hulya Dogan Eyup Gedikli et al.

Quelle: Journal of Intelligent Systems with Applications. :124-130

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

A survey of multiple types of text summarization with their satellite contents based on swarm intelligence optimization algorithms

Autoren: Arshad Syed Anwar Alaa Hamouda Mohamed Atef Mosa

Quelle: Knowledge-Based Systems. 163:518-532

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0950705118304593
https://dblp.uni-trier.de/db/journals/kbs/kbs163.html#MosaAH19

Distributed Optimization of Subway Stations based on Anylogic and Swarm Intelligence Optimization Algorithms

Autoren: Mingyuan Li Luofei Zhang Yingshan Wang

Quelle: 2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA).

REVIEW OF THE MULTI-OBJECTIVE SWARM INTELLIGENCE OPTIMIZATION ALGORITHMS

Autoren: Shaymah Akram Yasear Ku Ruhana Ku-Mahamud

Quelle: Journal of ICT, Vol 20, Iss 2, Pp 171-211 (2021)

Schlagwörter: optimization, metaheuristic, nature-inspired, pareto front, population-based, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: http://e-journal.uum.edu.my/index.php/jict/article/view/jict2021.20.2.3; https://doaj.org/toc/1675-414X

Zugangs-URL: https://doaj.org/article/2891fe75c87e4790b7687223f6f42f7f

Reconstituted data-driven air conditioning energy consumption prediction system employing occupant-orientated probability model as input and swarm intelligence optimization algorithms

Autoren: Chengyu Zhang Liangdong Ma Xing Han et al.

Quelle: Energy. 288:129799