Suchergebnisse - "genetic algorithm"

Comparison of Circuit Models for ML-Assisted Microwave Circuit Design

Autoren: Sjödin, Martin E Talcoth, Oskar Chang, Haojie et al.

Quelle: IEEE Journal of Microwaves. 5(6):1358-1369

Schlagwörter: Circuit optimization, convolutional neural networks, genetic algorithm, electronic circuits, machine learning, surrogate models

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/548742
https://research.chalmers.se/publication/548742/file/548742_Fulltext.pdf

Design and Optimization of Brushless Hybrid Wound Rotor Vernier Motor for Variable Speed Applications

Autoren: Kumar, Kapeel Ali, Qasim Ahmed, Sheeraz et al.

Quelle: IEEE Access. 13:104281-104290

Schlagwörter: brushless operation, finite element analysis (FEA), Genetic Algorithm, Vernier machine, wound rotor

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368546
https://doi.org/10.1109/ACCESS.2025.3579611

Optimization of enzymatic hydrolysis of corn starch to obtain glucose syrups by genetic algorithm: [Optimización de la hidrólisis enzimática del almidón de maíz para obtener siropes de glucosa mediante algoritmos genéticos]

Autoren: Serrano-Febles, Jonathan Luis-Orozco, Jesús Luis Ramírez, Héctor et al.

Quelle: Dyna. 92(235):83-91

Schlagwörter: amylases, enzymatic hydrolysis, genetic algorithm, dextrose equivalent, glucose syrups, hidrólisis enzimática, jarabes de glucosa, amilasas, algoritmo genético, equivalente de dextrosa

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-237224
https://doi.org/10.15446/dyna.v92n235.116302

Global coverage path planner in 2.5 dimensions for nonholonomic vehicles

Autoren: Arvidsson, Erik Karlberg, Magnus Lideskog, Håkan et al.

Quelle: International Journal of Forest Engineering. 36(2):201-212

Schlagwörter: Unmanned ground vehicle UGV, genetic algorithm GA, coverage path planning CPP, precision forestry, autonomous forest vehicle, Machine Design, Maskinkonstruktion

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-112037
https://doi.org/10.1080/14942119.2025.2469201

A First Proposal Towards Anticipatory Shipping Implementation In Automotive Manufacturing Through Machine Learning And Optimization

Autoren: García Sánchez, Juan Manuel

Weitere Verfasser: University/Department: Universitat Ramon Llull. La Salle

Thesis Advisors: Vilasís Cardona, Xavier

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Anticipatory Shipping, Automobile Industry, Car Configurator, Machine Learning, Genetic Algorithm, Forecasting, Enginyeria, indústria i construcció

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/692210

Multi-objective optimization for social multifamily housing: minimizing heating and cooling demand

Autoren: Benincá, Letiane

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura

Thesis Advisors: Crespo Sánchez, Eva, Passuello, Ana Carolina

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Multi-objective optimization, Genetic algorithm, NSGA-II, Energy efficiency, Cooling demand, Heating demand, EnergyPlus, Python, Social housing, Otimização multiobjetivo, Algoritmo genético, Eficiência energética, Demanda de resfriamento, Demanda de aquecimento, Habitação de interesse social, Optimización multiobjetivo, Demanda de refrigeración, Demanda de calefacción, Vivienda social, Optimització multiobjectiu, Algoritme genètic, Eficiència energètica, Demanda de refrigeració, Demanda de calefacció, Habitatge social, Àrees temàtiques de la UPC::Arquitectura, Àrees temàtiques de la UPC::Edificació

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/693063
https://dx.doi.org/10.5821/dissertation-2117-421449

Fractional Order Modeling and Control of Type 1 Diabetes with Genetic Algorithm Optimization

Autoren: Caponetto, Riccardo Patane', Luca Koledin, Nebojsa et al.

Quelle: 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE). :808-813

Schlagwörter: Fractional order Control, Fractional order modeling, Genetic Algorithm, Diabetes, PI, SMC

Zugangs-URL: https://hdl.handle.net/11573/1748888
https://doi.org/10.1109/case58245.2025.11164067

A Genetic Algorithm Framework for Jailbreaking Large Language Models

Autoren: Lorenzo Bonin Lorenzo Cusin Andrea De Lorenzo et al.

Weitere Verfasser: Lorenzo Bonin Lorenzo Cusin Andrea De Lorenzo et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :779-782

Schlagwörter: Large Language Model, Genetic Algorithm, Adversarial Attack, Jailbreak, Adaptive Attack

Zugangs-URL: https://hdl.handle.net/11368/3115300

Drive systems optimization in electric, hybrid and fuel cell vehicles

Autoren: Alcázar García, Désirée

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica

Thesis Advisors: Romeral Martínez, José Luis

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Design optimization, Efficiency, Electric vehicle, Fuel cell vehicle, Genetic Algorithm, Hybrid electric vehicle, Micromobility, Plug-in hybrid electric vehicle, Range, Smart City, Àrees temàtiques de la UPC::Enginyeria mecànica

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/691920
https://dx.doi.org/10.5821/dissertation-2117-412770

Addressing structural heterogeneity in real-time tracking of protein dynamics triggered by caged compounds

Autoren: Magkakis, Konstantinos Orädd, Fredrik Pett, Christian et al.

Quelle: Journal of Molecular Biology. 437(24)

Schlagwörter: adenylate kinase, ensemble optimization, genetic algorithm, protein dynamics, time-resolved X-ray solution scattering

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-245931
https://doi.org/10.1016/j.jmb.2025.169476

An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty

Autoren: Basnin, Nanziba Mahmud, Tanjim Islam, Raihan Ul et al.

Quelle: Diagnostics. 15(1)

Schlagwörter: Alzheimer’s disease, convolutional neural network (CNN), federated learning, belief rule base, FedAvg, FedProx, genetic algorithm, Cyber Security, Cybersäkerhet

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-111329
https://doi.org/10.3390/diagnostics15010080

Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks

Autoren: Tsegaye, Shewit Padmanaban, Sanjeevikumar Bertling Tjernberg, Lina, Professor et al.

Quelle: IEEE Access. 12:186856-186871

Schlagwörter: Long short term memory, Load modeling, Predictive models, Load forecasting, Data models, Convolutional neural networks, Genetic algorithms, Artificial neural networks, Deep neural networks, long short-term memory, load forecast, short-term load forecast, efficient and parallel genetic algorithm, EPGA enhanced LSTM

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-358494
https://doi.org/10.1109/ACCESS.2024.3432647

Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages

Autoren: Saleem, Muhammad Asim Javeed, Ashir Akarathanawat, Wasan et al.

Quelle: IEEE Access. 12:35754-35764

Schlagwörter: Stroke, feature selection, genetic algorithm, LSTM, BiLSTM, CT images

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-228893
https://doi.org/10.1109/ACCESS.2024.3369673

An Approach for Crop Prediction in Agriculture: Integrating Genetic Algorithms and Machine Learning

Autoren: Mahmud, Tanjim Datta, Nippon Chakma, Rishita et al.

Quelle: IEEE Access. 12:173583-173598

Schlagwörter: Agriculture, Crop Prediction, Genetic algorithm, Fitness Function, Random forest, Explainable AI(XAI), Cyber Security, Cybersäkerhet

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-110630
https://doi.org/10.1109/ACCESS.2024.3478739

Contributions to automatic configuration and selection for satisfiability

Autoren: Pon Farreny, Josep

Weitere Verfasser: University/Department: Universitat de Lleida. Departament d'Informàtica i Enginyeria Industrial

Thesis Advisors: Ansótegui Gil, Carlos José

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Configuració Automàtica, Algorisme Genètic, Optimització, Configuración Automática, Algoritmo Genético, Optimización, Automatic Configuration, Genetic Algorithm, Optimization, Ciències de la Computació i Intel·ligència Artificial

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/673622

Unmanned Aerial Vehicle Optimal Route Planning for Data Collection of Underground Communicating Sensor Nodes in Agriculture

Autoren: Cariou, Christophe Moiroux-Arvis, Laure Bendali-Mailfert, Fatiha et al.

Weitere Verfasser: Cariou, Christophe Moiroux-Arvis, Laure Bendali-Mailfert, Fatiha et al.

Quelle: ACM Journal on Autonomous Transportation Systems. 3:1-17

Schlagwörter: Combinatorial optimization, [SPI] Engineering Sciences [physics], Partheno-Genetic Algorithm, Agriculture, Unmanned Aerial Vehicle, Close Enough Traveling Salesman Problem with 3D obstacles, Underground Communicating Sensors

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.inrae.fr/hal-05167320v1
https://doi.org/10.1145/3748732
https://hal.inrae.fr/hal-05167320v1/document

Multimodal Entity Linking With Dynamic Modality Selection and Interactive Prompt Learning

Autoren: Yingyao Ma Yifan Xue Jiasong Wu et al.

Weitere Verfasser: Yingyao Ma Yifan Xue Jiasong Wu et al.

Quelle: IEEE Transactions on Knowledge and Data Engineering. 37:5467-5480

Schlagwörter: [SDV.IB] Life Sciences [q-bio]/Bioengineering, Artificial intelligence, Human–computer interaction, Natural language processing, Data models, Social networking (online), Computational modeling, Modality (human–computer interaction), Computer science, Selection (genetic algorithm), Encoding, Couplings, Training, Feature extraction, Joining processes, Noise, Visualization

Zugangs-URL: https://hal.science/hal-05162994v1
https://doi.org/10.1109/tkde.2025.3580754

A Two-echelon Model of Location-routing Problem for Optimizing Relief Operations in Natural Disasters

Autoren: Hossein Jamali Mehdi Kabiri Naeini Zeynab Elahi

Quelle: دانش پیشگیری و مدیریت بحران, Vol 15, Iss 2, Pp 202-229 (2025)

Schlagwörter: HD61, genetic algorithm (ga), Industrial safety. Industrial accident prevention, T55-55.3, natural disaster relief, covering tour problem (ctp), Risk in industry. Risk management, crisis management, two-echelon location-routing problem (2e-rctlrp)

Zugangs-URL: https://doaj.org/article/603284f4b08a4139bc0ec7b5304864bd

Applying complex network metrics to individual-tree diameter growth modeling

Autoren: Leite e Lopes I Sousa da Mata A Oliveira Castro RV et al.

Quelle: iForest-Biogeosciences and Forestry, Vol 18, Iss 1, Pp 176-185 (2025)

Schlagwörter: Genetic Algorithm, Random Forest, Competition Indices, Tropical Forest, Forestry, Feature Selection, SD1-669.5, Copaifera langsdorffii

Zugangs-URL: https://doaj.org/article/bad1c1acc6e2485685b1d4c5fd9c5f20

System Identification and Adaptive Tracking Control for a 3-DOF LCD Glass-handling Robot

Autoren: Sin-Syun You Rong-Fong Fung

Quelle: International Journal of Automation and Smart Technology, Vol 1, Iss 1, Pp 53-66 (2011)

Schlagwörter: 3-DOF LCD Glass-handling robot, T59.5, Lyapunov function, Automation, 0209 industrial biotechnology, Real-coded Genetic Algorithm (RGA), double S speed profile, Information technology, 02 engineering and technology, permanent magnet synchronous motors (PMSMs), T58.5-58.64

Zugangs-URL: https://doaj.org/article/f899875ca40b4f3392be7e451c9ac385
http://www.ausmt.org/index.php/AUSMT/article/view/56/2
http://www.ausmt.org/index.php/AUSMT/article/download/56/2