Search Results - meta-learning. articles swarm optimization. genetics programming. algorithm generation~

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

Authors: Nandhagopal Nachimuthu Umanesan Ramakrishnan

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

Subject Terms: 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

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

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

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

Source: 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.

Authors: Benmachiche, Abdelmadjid Derdour, Makhlouf Kahil, Moustafa Sadek et al.

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

Subject Terms: 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.

Authors: Mehta, Sumet Han, Fei Sohail, Muhammad et al.

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

Subject Terms: 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.

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

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

Subject Terms: 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.

Authors: Tao, Ye Yan, Jiongcheng Niu, Enquan et al.

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

Subject Terms: 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.

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

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

Subject Terms: LANGUAGE models, PARTICLE swarm optimization, MACHINE learning, ROBOTICS, MATHEMATICAL optimization

Comparative analysis of direct search methods for material design optimization.

Authors: Coropețchi, I.C. Constantinescu, D.M. Vasile, A. et al.

Source: 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.

Authors: Yan, Yu Yang, Yu Shen, Fang et al.

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

Subject Terms: 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.

Authors: Shi, Baidi Xiao, Wei Zhang, Liangxian et al.

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

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

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

Authors: Abualigah, Laith

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

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

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

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

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

Subject Terms: GRAMMAR, OPERATOR equations, GENETIC programming, ALGORITHMS, MATHEMATICAL optimization

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

Authors: Bao, Xiang Han, Fei Ling, Qinghua

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

Synergistic Swarm Optimization Algorithm.

Authors: Alzoubi, Sharaf Abualigah, Laith Sharaf, Mohamed et al.

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

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

Opposite scoring: focusing the tuning process of evolutionary calibrator.

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

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

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

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

Authors: Liu, Qingqing Wang, Xianpeng Wang, Yao et al.

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

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

Company/Entity: CABLE News Network

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

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

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

Subject Terms: 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.

Authors: Liu, Yan Lun, Qingqing Zhang, Jingjing

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

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

A Systematic Literature Review on the Use of Federated Learning and Bioinspired Computing.

Authors: Marin Machado de Souza, Rafael Holm, Andrew Biczyk, Márcio et al.

Source: Electronics (2079-9292); Aug2024, Vol. 13 Issue 16, p3157, 25p

Subject Terms: FEDERATED learning, MACHINE learning, PARTICLE swarm optimization, EVOLUTIONARY algorithms, SMART cities

A Comprehensive Survey on Rare Event Prediction.

Authors: Shyalika, Chathurangi Wickramarachchi, Ruwan Sheth, Amit P.

Source: ACM Computing Surveys; Mar2025, Vol. 57 Issue 3, p1-39, 39p

Subject Terms: ARTIFICIAL neural networks, MACHINE learning, PARTICLE swarm optimization, ARTIFICIAL intelligence, LONG short-term memory, SUPERVISED learning, DEEP learning, STATISTICAL learning