Výsledky vyhľadávania - "Swarm Intelligence Optimization Algorithms"

A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification

Autori: Lahbib Khrissi Nabil El Akkad Hassan Satori a ďalší

Zdroj: Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
Universidad Internacional de La Rioja (UNIR)
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 9, Iss 1, Pp 28-38 (2025)

Predmety: Technology, Artificial intelligence, Feature (linguistics), Pattern recognition (psychology), feature selection, Selection (genetic algorithm), Artificial Intelligence, Machine learning, Swarm Intelligence Optimization Algorithms, Feature Selection, Data mining, Global Optimization, machine learning classifier, Optimization Applications, IJIMAI, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Algorithm, Philosophy, classification, Particle Swarm Optimization, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Feature selection, FOS: Languages and literature, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, optimization

Prístupová URL adresa: https://doaj.org/article/8efd1323435541cd967d30e249619180
https://reunir.unir.net/handle/123456789/14313

A novel metaheuristic based on object-oriented programming concepts for engineering optimization

Autori: Khalid M. Hosny Asmaa M. Khalid Wael Said a ďalší

Zdroj: Alexandria Engineering Journal, Vol 98, Iss, Pp 221-248 (2024)

Predmety: Optimization, Artificial intelligence, Population, Metaheuristic, Metaheuristics, 02 engineering and technology, Search-based software engineering, Parallel metaheuristic, Industrial and Manufacturing Engineering, Engineering, 0203 mechanical engineering, Artificial Intelligence, Satisfiability and optimisation, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Optimization problem, Inheritance, Global Optimization, Multi-Objective Optimization, Software development process, Meta-optimization, Optimization Applications, Mathematical optimization, Hybrid Optimization, Software development, Object-oriented programming, Engineering (General). Civil engineering (General), Computer science, Programming language, Algorithm, Engineering optimization, Computational Theory and Mathematics, Computer Science, Physical Sciences, Scheduling Problems in Manufacturing Systems, Exploration, TA1-2040, Convergence, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Software

Prístupová URL adresa: https://doaj.org/article/1652ef1e2b924ddfaab3e5a2ebe6178e

An Adaptive Differential Evolution with Multiple Crossover Strategies for Optimization Problems

Autori: Irfan Farda Arit Thammano

Zdroj: HighTech and Innovation Journal, Vol 5, Iss 2, Pp 231-258 (2024)

Predmety: Technological innovations. Automation, Artificial intelligence, Adaptive strategies, Adaptive evolution, Gene, Artificial Intelligence, FOS: Mathematics, Genetics, Swarm Intelligence Optimization Algorithms, Biology, reptile search algorithm, Geography, Physics, HD45-45.2, Optimization Applications, Mathematical optimization, Differential Evolution, Computer science, Ant Colony Optimization, multiple strategies, Archaeology, Particle Swarm Optimization, FOS: Biological sciences, Computer Science, Physical Sciences, Crossover, Thermodynamics, Evolutionary Algorithms, Differential (mechanical device), metaheuristic algorithm, Differential evolution, Mathematics, differential evolution algorithm

Prístupová URL adresa: https://doaj.org/article/460462c8d7e94e858af81adea6afc4b0

Multi-objective generalized normal distribution optimization: a novel algorithm for multi-objective problems

Autori: Nima Khodadadi Ehsan Khodadadi Farhad Soleimanian Gharehchopogh a ďalší

Zdroj: Cluster Computing. 27:10589-10631

Predmety: 0211 other engineering and technologies, Social Sciences, 02 engineering and technology, Mathematical analysis, Decision Sciences, Artificial Intelligence, Estimation of distribution algorithm, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Global Optimization, Multi-Objective Optimization, Distribution (mathematics), Optimization Applications, Mathematical optimization, Probabilistic Design Optimization, Computer science, Algorithm, Computational Theory and Mathematics, Computer Science, Physical Sciences, Uncertainty Quantification and Sensitivity Analysis, Nature-Inspired Algorithms, Statistics, Probability and Uncertainty, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

IHHO: an improved Harris Hawks optimization algorithm for solving engineering problems

Autori: Dalia T. Akl Mahmoud M. Saafan Amira Y. Haikal a ďalší

Zdroj: Neural Computing and Applications. 36:12185-12298

Predmety: 0209 industrial biotechnology, Bayesian Optimization, Multi-Objective Optimization, 4. Education, Optimization Applications, Mathematical optimization, 02 engineering and technology, Metaheuristics, 15. Life on land, Computer science, 7. Clean energy, Algorithm, Optimization algorithm, Computational Theory and Mathematics, Artificial Intelligence, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Multiobjective Optimization in Evolutionary Algorithms, Constraint Handling, Mathematics

Hybrid Crow Search and Particle Swarm Algorithmic optimization based CH Selection method to extend Wireless Sensor Network operation

Autori: Vinoth Kumar P K. Venkatesh

Zdroj: Journal of Machine and Computing. :290-307

Predmety: Artificial intelligence, Computer Networks and Communications, Metaheuristic, 02 engineering and technology, 7. Clean energy, Wireless Indoor Localization Techniques and Systems, Engineering, Selection (genetic algorithm), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Electrical and Electronic Engineering, Swarm Intelligence Optimization Algorithms, Computer network, Wireless Sensor Networks: Survey and Applications, Multi-swarm optimization, Particle swarm optimization, Mathematical optimization, Computer science, Distributed computing, 3. Good health, Algorithm, Computer Science, Physical Sciences, Wireless sensor network, Mathematics

An enhanced sea-horse optimizer for solving global problems and cluster head selection in wireless sensor networks

Autori: Essam H. Houssein Mohammed R. Saad Emre Çelik a ďalší

Prispievatelia: Essam H. Houssein Mohammed R. Saad Emre Çelik a ďalší

Zdroj: Cluster Computing. 27:7775-7802

Predmety: Sea-horse optimizer, 0209 industrial biotechnology, Artificial intelligence, Computer Networks and Communications, Metaheuristic, Ocean Engineering, 02 engineering and technology, Cluster (spacecraft), 7. Clean energy, Clustering, Engineering, Selection (genetic algorithm), Head (geology), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Greedy selection, Computer network, Harmony Search, Wireless Sensor Networks: Survey and Applications, Differential Evolution, Underwater Acoustic Sensor Networks and Communication, Geomorphology, Geology, FOS: Earth and related environmental sciences, Computer science, Hybrid, Opposition-based learning, Algorithm, Computer Science, Physical Sciences, Wireless, Telecommunications, Wireless sensor network

A novel Touchard polynomial-based spectral matrix collocation method for solving the Lotka-Volterra competition system with diffusion

Autori: Mohammad Izadi A. El-Mesady Waleed Adel

Zdroj: Volume: 4, Issue: 137-65
Mathematical Modelling and Numerical Simulation with Applications

Predmety: Composite material, Matrix (chemical analysis), Collocation (remote sensing), Biyolojik Matematik, 01 natural sciences, Polynomial, Mathematical analysis, Quantum mechanics, Diffusion, Volterra equations, Collocation points, Convergent analysis, Stability, Touchard polynomials, Taylor series formula, Differential equation, Sayısal Analiz, Artificial Intelligence, 0103 physical sciences, Health Sciences, Orthogonal collocation, Machine learning, FOS: Mathematics, 0101 mathematics, Swarm Intelligence Optimization Algorithms, Biology, Anomalous Diffusion Modeling and Analysis, Collocation method, Numerical Analysis, Biological Mathematics, Ecology, Physics, 4. Education, Mathematical optimization, Public Health, Environmental and Occupational Health, Competition (biology), Applied mathematics, Computer science, Materials science, Disease Transmission and Population Dynamics, Modeling and Simulation, FOS: Biological sciences, Physical Sciences, Computer Science, Nonlinear system, Medicine, Thermodynamics, Mathematics, Ordinary differential equation

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/mmnsa/issue/83968/1408997

Optimizing neural network algorithms for submerged membrane bioreactor: A comparative study of OVAT and RSM hyperparameter optimization techniques

Autori: Syahira Ibrahim Norhaliza Abdul Wahab

Zdroj: Water Science and Technology, Vol 89, Iss 7, Pp 1701-1724 (2024)

Predmety: Artificial neural network, Artificial intelligence, Hyperparameter Optimization, neural network, Bioreactor, 02 engineering and technology, doe implementation, Environmental technology. Sanitary engineering, 01 natural sciences, Learning with Noisy Labels in Machine Learning, Bioreactors, Engineering, Response surface methodology, Artificial Intelligence, Machine learning, FOS: Mathematics, Computer Simulation, Swarm Intelligence Optimization Algorithms, Biology, TD1-1066, 0105 earth and related environmental sciences, Hyperparameter, Multi-Objective Optimization, computational time, submerged membrane bioreactor data, Optimization Applications, Botany, optimization techniques, Computer science, Ant Colony Optimization, 6. Clean water, Biochemical engineering, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Neural Networks, Computer, 0210 nano-technology, Algorithms, Mathematics

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38619898
https://doaj.org/article/c8bb7ab8ab2345c4b2debbad56d53d08

Optimizing Task Scheduling in Cloud Computing Using Discrete Tuna Swarm Optimization

Autori: Abdeldjalil Ledmi Makhlouf Ledmi Mohammed El Habib Souidi a ďalší

Zdroj: Ingénierie des systèmes d information. 29:323-335

Predmety: Artificial intelligence, 7. Clean energy, Swarm behaviour, Systems engineering, Task (project management), Engineering, Artificial Intelligence, FOS: Mathematics, Cloud computing, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Constraint Handling, Biology, Global Optimization, Tuna, Optimization Applications, Mathematical optimization, Computer science, Ant Colony Optimization, Distributed computing, 3. Good health, Operating system, Fish, Fishery, Particle Swarm Optimization, Computer Science, Physical Sciences, Scheduling (production processes), Mathematics

MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics

Autori: Hudhaifa Mohammed Abdulwahab S. Ajitha Mufeed Ahmed Naji Saif a ďalší

Zdroj: IEEE Access, Vol 12, Pp 21840-21867 (2024)

Predmety: FOS: Computer and information sciences, Artificial intelligence, Bioinformatics, Pattern recognition (psychology), Features selection, Selection (genetic algorithm), Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Support Vector Machines, Microarray Data Analysis and Gene Expression Profiling, Machine learning, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Feature Selection, Molecular Biology, Constraint Handling, Prediction of Protein Subcellular Localization, Arithmetic, Particle swarm optimization, Life Sciences, Cuckoo search, data mining, bioinformatics, Computer science, TK1-9971, 3. Good health, Algorithm, machine learning, multi-objective optimization, Genetic algorithm, Computer Science, Physical Sciences, Nature-Inspired Algorithms, cuckoo search algorithm, Electrical engineering. Electronics. Nuclear engineering, Binary number, Mathematics

Prístupová URL adresa: https://doaj.org/article/25c7751d294147d98aaa4638d7d2d53e

Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing

Autori: Ahmed Gad Essam H. Houssein MengChu Zhou a ďalší

Zdroj: IEEE Internet of Things Journal. 11:1698-1710

Predmety: FOS: Computer and information sciences, Artificial intelligence, Computer Networks and Communications, Premature convergence, Swarm intelligence, Metaheuristic, Cloud Computing and Big Data Technologies, 7. Clean energy, system throughput, Simulated annealing, Swarm behaviour, Artificial Intelligence, simulated annealing (SA), Cloud task scheduling, FOS: Mathematics, Edge Computing, Cloud computing, Swarm Intelligence Optimization Algorithms, particle swarm optimizer (PSO), Computer network, Routing (electronic design automation), Global Optimization, Internet of Things and Edge Computing, 9. Industry and infrastructure, Particle swarm optimization, Optimization Applications, Mathematical optimization, power consumption, Industrial Internet of Things (IIoT), Job shop scheduling, swarm intelligence (SI), Computer science, Ant Colony Optimization, Distributed computing, Algorithm, Operating system, evolutionary computation, Particle Swarm Optimization, Computer Science, Physical Sciences, Crossover, Scheduling (production processes), Mathematics, Information Systems

Popis súboru: application/pdf

Prístupová URL adresa: https://hdl.handle.net/10576/62281

2-SAT discrete Hopfield neural networks optimization via Crow search and fuzzy dynamical clustering approach

Autori: Caicai Feng Saratha Sathasivam Nurshazneem Roslan a ďalší

Zdroj: AIMS Mathematics, Vol 9, Iss 4, Pp 9232-9266 (2024)

Predmety: Artificial neural network, Artificial intelligence, 2-sat, crow search algorithm, 02 engineering and technology, Neural Network Fundamentals and Applications, Computer science, Ant Colony Optimization, Fuzzy logic, logic programming, Cluster analysis, Artificial Intelligence, Particle Swarm Optimization, Computer Science, Physical Sciences, hopfield neural networks, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, fuzzy clustering, Hopfield network, Computer Vision and Pattern Recognition, Swarm Intelligence Optimization Algorithms, Face Recognition and Dimensionality Reduction Techniques, Mathematics

Prístupová URL adresa: https://doaj.org/article/711dad9de18a4c5fbe57423d9ebf90cb

Evolutionary optimization framework to train multilayer perceptrons for engineering applications

Autori: Rami Al-Hajj Mohamad M. Fouad Mustafa Zeki

Zdroj: Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2970-2990 (2024)

Predmety: Backpropagation Learning, Artificial neural network, cooperative optimization algorithm, 0209 industrial biotechnology, Artificial intelligence, Economics, Backpropagation, 02 engineering and technology, evolutionary training, optimizing multilayer perceptrons, 7. Clean energy, Activation function, Feedforward Neural Networks, Artificial Intelligence, Evolutionary algorithm, Machine learning, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, Theory and Applications of Extreme Learning Machines, Constraint Handling, Economic growth, Ensemble Learning, Perceptron, Geography, Mathematical optimization, optimizing neural networks, Neural Network Fundamentals and Applications, neural networks, Computer science, Regression, Algorithm, machine learning, evolutionary computation, multilayer perceptrons, Computer Science, Physical Sciences, Convergence (economics), Global optimization, Benchmark (surveying), heuristic optimization, TP248.13-248.65, Mathematics, Geodesy, Biotechnology

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38454715
https://doaj.org/article/056d6257fa0d48eb8db31d57a58793b7

A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference

Autori: Rohit Salgotra Pankaj Sharma S. Sivanaga Raju a ďalší

Zdroj: Archives of Computational Methods in Engineering. 31:1749-1822

Predmety: Test functions for optimization, MATLAB, Artificial intelligence, Metaheuristic, Heuristic, 02 engineering and technology, Metaheuristics, 7. Clean energy, Artificial Intelligence, Field (mathematics), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, Constraint Handling, Global Optimization, Multi-Objective Optimization, Multi-swarm optimization, Optimization Applications, Python (programming language), Mathematical optimization, Pure mathematics, Computer science, Programming language, Algorithm, Engineering optimization, Computational Theory and Mathematics, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

An efficient adaptive-mutated Coati optimization algorithm for feature selection and global optimization

Autori: Fatma A. Hashim Essam H. Houssein Reham R. Mostafa a ďalší

Zdroj: Alexandria Engineering Journal, Vol 85, Iss, Pp 29-48 (2023)

Predmety: Feature selection, Coati optimization algorithm, Optimization problems, Optimization, Artificial intelligence, Beräkningsmatematik, Biomedical Engineering, Metaheuristic, Operator (biology), FOS: Medical engineering, Biochemistry, Gene, 7. Clean energy, Engineering, Artificial Intelligence, Evolutionary algorithm, Machine learning, Artificial Immune Systems in Science and Engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Feature Selection, Optimization problem, Global Optimization, Multi-Objective Optimization, Particle swarm optimization, Optimization Applications, Mathematical optimization, Test suite, 15. Life on land, Engineering (General). Civil engineering (General), Computer science, Algorithm, Computational Mathematics, Chemistry, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Repressor, TA1-2040, Test case, Transcription factor, Regression analysis, Mathematics

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/d906edae9d5447ee902c25afa6508348
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-200389

Estimating the Parameters of a Three-Phase Induction Motor using the Vortex Search Algorithm

Autori: Andrés Tobón Oscar Daniel Garzón Diego Alejandro Herrera‐Jaramillo a ďalší

Zdroj: Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 48:337-347

Predmety: Artificial intelligence, Parameter Estimation, Robustness (evolution), Geometry, Control (management), 02 engineering and technology, Electric Motor Drives for Electric Vehicles, Gene, Biochemistry, Cogging Torque Reduction, Engineering, 0203 mechanical engineering, Analysis of Electric Machinery and Drive Systems, Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Speed Estimation, Control theory (sociology), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Swarm Intelligence Optimization Algorithms, Trigonometric functions, Multi-swarm optimization, Particle swarm optimization, 4. Education, Mathematical optimization, Computer science, Algorithm, Optimization algorithm, Chemistry, Motor Design Optimization, Physical Sciences, Computer Science, Induction Motors, Mathematics

A bio-medical snake optimizer system driven by logarithmic surviving global search for optimizing feature selection and its application for disorder recognition

Autori: Ruba Abu Khurma Esraa Alhenawi Malik Braik a ďalší

Zdroj: Journal of Computational Design and Engineering. 10:2361-2383

Predmety: Artificial neural network, FOS: Computer and information sciences, Artificial intelligence, Hyperparameter Optimization, Computer Science - Artificial Intelligence, Feature (linguistics), Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Overfitting, 02 engineering and technology, Pattern recognition (psychology), Learning with Noisy Labels in Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Meta-Learning, Support Vector Machines, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Molecular Biology, Constraint Handling, Data mining, Preprocessor, Curse of dimensionality, Prediction of Protein Subcellular Localization, Optimization Applications, Image and Video Processing (eess.IV), Life Sciences, Linguistics, Electrical Engineering and Systems Science - Image and Video Processing, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, Artificial Intelligence (cs.AI), Computer Science, Physical Sciences, Feature selection, FOS: Languages and literature, Classifier (UML)

Prístupová URL adresa: http://arxiv.org/abs/2404.07216

Efficient Feature Selection in High Dimensional Data Based on Enhanced Binary Chimp Optimization Algorithms and Machine Learning

Autori: Farid Ayeche Adel Alti

Zdroj: Human-Centric Intelligent Systems, Vol 3, Iss 4, Pp 558-587 (2023)

Predmety: Artificial neural network, Classification accuracy, Artificial intelligence, Hyperparameter Optimization, Economics, Feature (linguistics), Information technology, 02 engineering and technology, Learning with Noisy Labels in Machine Learning, Selection (genetic algorithm), Artificial Intelligence, Sigmoid function, Computer security, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Feature Selection, Key (lock), Economic growth, Curse of dimensionality, Global Optimization, Arithmetic, Optimization Applications, Mathematical optimization, Linguistics, QA75.5-76.95, Rate of convergence, T58.5-58.64, Dimensionality reduction, Computer science, FOS: Philosophy, ethics and religion, Algorithm, Optimization algorithm, Philosophy, Particle Swarm Optimization, Electronic computers. Computer science, BChimp, Computer Science, Physical Sciences, Convergence (economics), Feature selection, Crossover, FOS: Languages and literature, Relevancy, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Binary number, Mathematics

Prístupová URL adresa: https://doaj.org/article/c1927608a7f84e6f97ca2989e2473884

Identification of photovoltaic module parameters by implementing a novel teaching learning based optimization with unique exemplar generation scheme (TLBO-UEGS)

Autori: Abhishek Sharma Wei Hong Lim El-Sayed M. El-kenawy a ďalší

Zdroj: Energy Reports, Vol 10, Iss, Pp 1485-1506 (2023)

Predmety: Optimization, Artificial intelligence, PV System, Parameter Estimation, Robustness (evolution), Population, Mathematical analysis, Biochemistry, Gene, 7. Clean energy, Identification (biology), Engineering, Sociology, Artificial Intelligence, Machine learning, Parameter estimation, FOS: Mathematics, Single-diode model, Machine Learning Methods for Solar Radiation Forecasting, Swarm Intelligence Optimization Algorithms, Initialization, Biology, Photovoltaic system, Scheme (mathematics), Demography, Energy, Teaching learning-based optimization, Renewable Energy, Sustainability and the Environment, Statistics, Botany, Photovoltaic Maximum Power Point Tracking Techniques, Computer science, TK1-9971, Process (computing), FOS: Sociology, Programming language, Chemistry, Operating system, Particle Swarm Optimization, Electrical engineering, Computer Science, Physical Sciences, Mean squared error, Electrical engineering. Electronics. Nuclear engineering, Mathematics

Prístupová URL adresa: https://doaj.org/article/244d27234e7242fa8e5115d1852ee0d7