Výsledky vyhľadávania - meta-learning. articles swarm optimization. genetic programming. algorithm generation*

An Enhanced Memetic Algorithm for Feature Selection in Big Data Analytics with MapReduce

Autori: Nandhagopal Nachimuthu Umanesan Ramakrishnan

Zdroj: Intelligent Automation & Soft Computing. 31:1547-1559

Predmety: FOS: Computer and information sciences, Artificial intelligence, Hyperparameter Optimization, Support vector machine, Learning and Inference in Bayesian Networks, Economics, Feature (linguistics), Heuristic, Metaheuristic, Local optimum, 02 engineering and technology, Constraint satisfaction, 01 natural sciences, Learning with Noisy Labels in Machine Learning, Swarm behaviour, Selection (genetic algorithm), Artificial Intelligence, Data Mining Techniques and Applications, Meta-Learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Hybrid algorithm (constraint satisfaction), 14. Life underwater, 0101 mathematics, Data mining, Economic growth, Probabilistic logic, Constraint logic programming, Probabilistic Learning, Memetic algorithm, Linguistics, Inference Algorithms, Computer science, FOS: Philosophy, ethics and religion, Programming language, Automated Machine Learning, Algorithm, Philosophy, Genetic algorithm, Computer Science, Physical Sciences, Feature selection, Convergence (economics), FOS: Languages and literature, SPARK (programming language), Information Systems

Prístupová URL adresa: https://www.techscience.com/iasc/v31n3/44827/pdf

A novel context-free grammar for the generation of PSO algorithms.

Autori: Miranda, Péricles B. C. Prudêncio, Ricardo B. C.

Zdroj: Natural Computing; Sep2020, Vol. 19 Issue 3, p495-513, 19p

Predmety: GRAMMAR, OPERATOR equations, GENETIC programming, ALGORITHMS, MATHEMATICAL optimization

Tri-objective hybrid genetic programming for transparent and effective entity matching via optimized similarity measure combination.

Autori: Gao, Fan Luo, Bing Yang, Ya-Juan

Zdroj: Memetic Computing; Sep2025, Vol. 17 Issue 3, p1-18, 18p

Evolutionary convolutional neural network for image classification based on multi-objective genetic programming with leader–follower mechanism.

Autori: Liu, Qingqing Wang, Xianpeng Wang, Yao a ďalší

Zdroj: Complex & Intelligent Systems; Jun2023, Vol. 9 Issue 3, p3211-3228, 18p

Predmety: CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision), ARTIFICIAL intelligence, GENETIC programming, BILEVEL programming, GENETIC algorithms

Korporácia: CABLE News Network

A comprehensive comparative analysis of particle swarm optimization and genetic algorithms in well acidizing optimization.

Autori: Ebadi, Seyed Mahan Khamehchi, Ehsan Mahdavi Kalatehno, Javad

Zdroj: Journal of Petroleum Exploration & Production Technology; Jan2026, Vol. 16 Issue 1, p1-19, 19p

Adaptive Hybrid PSO–APF Algorithm for Advanced Path Planning in Next-Generation Autonomous Robots.

Autori: Benmachiche, Abdelmadjid Derdour, Makhlouf Kahil, Moustafa Sadek a ďalší

Zdroj: Sensors (14248220); Sep2025, Vol. 25 Issue 18, p5742, 32p

Predmety: ROBOTIC path planning, PARTICLE swarm optimization, AUTONOMOUS robots, OBSTACLE avoidance (Robotics), MACHINE learning

Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization.

Autori: Mehta, Sumet Han, Fei Sohail, Muhammad a ďalší

Zdroj: PeerJ Computer Science; May2025, p1-35, 35p

Predmety: PARTICLE swarm optimization, FEATURE selection, MATHEMATICAL programming, MULTIPLE criteria decision making, TRANSCRIPTOMES, BIOINFORMATICS, DIMENSIONAL reduction algorithms

A hybrid DECSO algorithm for efficient multi objective task scheduling in cloud computing environments.

Autori: Gunduz, Ali Senan, Sibel Gurkas-Aydin, Zeynep

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-22, 22p

Predmety: CLOUD computing, SCHEDULING, COMPUTER simulation, MULTI-objective optimization, RESOURCE allocation, OPTIMIZATION algorithms, PRODUCTION scheduling, MATHEMATICAL optimization

An SVM-Based Anomaly Detection Method for Power System Security Analysis Using Particle Swarm Optimization and t-SNE for High-Dimensional Data Classification.

Autori: Tao, Ye Yan, Jiongcheng Niu, Enquan a ďalší

Zdroj: Processes; Feb2025, Vol. 13 Issue 2, p549, 24p

Predmety: ELECTRIC power systems, OPTIMIZATION algorithms, PARTICLE swarm optimization, SUPPORT vector machines, SEARCH algorithms

LLM-Enhanced metaheuristics with single-shot and few-shot learning for multi-robot exploration tasks.

Autori: El Romeh, Ali Snasel, Vaclav Mirjalili, Seyedali

Zdroj: Cluster Computing; Dec2025, Vol. 28 Issue 16, p1-35, 35p

Predmety: LANGUAGE models, PARTICLE swarm optimization, MACHINE learning, ROBOTICS, MATHEMATICAL optimization

Comparative analysis of direct search methods for material design optimization.

Autori: Coropețchi, I.C. Constantinescu, D.M. Vasile, A. a ďalší

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design & Applications (Sage Publications, Ltd.); Apr2025, Vol. 239 Issue 4, p642-660, 19p

Meta learning-based few-shot intrusion detection for 5G-enabled industrial internet.

Autori: Yan, Yu Yang, Yu Shen, Fang a ďalší

Zdroj: Complex & Intelligent Systems; Jun2024, Vol. 10 Issue 3, p4589-4608, 20p

Predmety: INTRUSION detection systems (Computer security), PARTICLE swarm optimization, MACHINE learning, INDUSTRIAL controls manufacturing, TRAFFIC monitoring, INTERNET, TRANSFORMER models

Multi-Objective Optimization Method for Power Transformer Design Based on Surrogate Modeling and Hybrid Heuristic Algorithm.

Autori: Shi, Baidi Xiao, Wei Zhang, Liangxian a ďalší

Zdroj: Electronics (2079-9292); Mar2025, Vol. 14 Issue 6, p1198, 28p

Predmety: ENSEMBLE learning, EXTREME learning machines, MULTI-objective optimization, OPTIMIZATION algorithms, HEURISTIC algorithms, PARTICLE swarm optimization

Particle Swarm Optimization: Advances, Applications, and Experimental Insights.

Autori: Abualigah, Laith

Zdroj: Computers, Materials & Continua; 2025, Vol. 82 Issue 2, p1539-1592, 54p

Predmety: OPTIMIZATION algorithms, PARTICLE swarm optimization, MACHINE learning, ENGINEERING design, DATA mining

Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization.

Autori: Bao, Xiang Han, Fei Ling, Qinghua

Zdroj: Complex & Intelligent Systems; Jun2025, Vol. 11 Issue 6, p1-25, 25p

Automatic Design of Energy-Efficient Dispatching Rules for Multi-Objective Dynamic Flexible Job Shop Scheduling Based on Dual Feature Weight Sets.

Autori: Xu, Binzi Xu, Kai Fei, Baolin a ďalší

Zdroj: Mathematics (2227-7390); May2024, Vol. 12 Issue 10, p1463, 24p

Predmety: PRODUCTION scheduling, GENETIC programming, FEATURE selection, MANUFACTURING processes, SEARCH algorithms

Synergistic Swarm Optimization Algorithm.

Autori: Alzoubi, Sharaf Abualigah, Laith Sharaf, Mohamed a ďalší

Zdroj: Computer Modeling in Engineering & Sciences (CMES); 2024, Vol. 139 Issue 3, p2557-2604, 48p

Predmety: OPTIMIZATION algorithms, PARTICLE swarm optimization, ENGINEERING design, SEARCHING behavior, INFORMATION sharing

Opposite scoring: focusing the tuning process of evolutionary calibrator.

Autori: Rojas-Morales, Nicolás Riff, María-Cristina

Zdroj: Neural Computing & Applications; May2023, Vol. 35 Issue 13, p9269-9283, 15p

Predmety: ANT algorithms, PARTICLE swarm optimization, METAHEURISTIC algorithms, KNAPSACK problems, GENETIC algorithms, EVOLUTIONARY algorithms, LANDSCAPE assessment

Intelligence Techniques in Sustainable Energy: Analysis of a Decade of Advances.

Autori: Velásquez, Juan D. Cadavid, Lorena Franco, Carlos J.

Zdroj: Energies (19961073); Oct2023, Vol. 16 Issue 19, p6974, 45p

Predmety: DEEP learning, CLEAN energy, DIFFERENTIAL evolution, SMART power grids, PARTICLE swarm optimization, WIND power, ARTIFICIAL intelligence, SOLAR energy

Dual-objective economic planning of simultaneous allocation of disconnectors and maneuvering points considering the direction of error reduction in the presence of fault detector with the multi-objective PSO.

Autori: Liu, Yan Lun, Qingqing Zhang, Jingjing

Zdroj: Electrical Engineering; Apr2025, Vol. 107 Issue 4, p4021-4036, 16p

Predmety: PARTICLE swarm optimization, POWER resources, CENTRAL economic planning, ELECTRICAL energy, ELECTRICAL supplies