Výsledky vyhľadávania - Artificial intelligence Evolutionary algorithms Non-linear programming Optimization

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

Quantum-Inspired Algorithms and Perspectives for Optimization.

Autori: Iovane, Gerardo

Zdroj: Electronics (2079-9292); Jul2025, Vol. 14 Issue 14, p2839, 27p

Predmety: MATHEMATICAL optimization, EVOLUTIONARY algorithms, INTERNET security, MATHEMATICAL programming, ALGORITHMS, MACHINE learning

Self equation based differential evolution for big optimization.

Autori: Dumlu, Hatem Yavuz, Gurcan

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-45, 45p

Predmety: DIFFERENTIAL evolution, ELECTROENCEPHALOGRAPHY, METAHEURISTIC algorithms, CONSTRAINED optimization, MATHEMATICAL programming, EVOLUTIONARY algorithms

AI and Evolutionary Computation for Intelligent Aviation Health Monitoring.

Autori: Kabashkin, Igor

Zdroj: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1369, 47p

Predmety: REMAINING useful life, MULTI-objective optimization, ARTIFICIAL intelligence, EVOLUTIONARY computation, EVOLUTIONARY algorithms, SYSTEM downtime, DEEP learning

Gaining-Sharing Knowledge Based Algorithm With Adaptive Parameters for Engineering Optimization

Autori: Ali Wagdy Mohamed Hattan F. Abutarboush Anas A. Hadi a ďalší

Zdroj: IEEE Access, Vol 9, Pp 65934-65946 (2021)

Predmety: engineering optimization, Artificial intelligence, Knowledge sharing, Knowledge management, Population, Set (abstract data type), 02 engineering and technology, Sociology, Artificial Intelligence, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Optimization problem, Constraint Handling, Demography, Global Optimization, Optimization Applications, Mathematical optimization, gaining-sharing-knowledge-based algorithm, nature-inspired algorithms, Computer science, TK1-9971, Process (computing), FOS: Sociology, Programming language, Algorithm, Operating system, Computational Theory and Mathematics, evolutionary computation, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Electrical engineering. Electronics. Nuclear engineering, 0210 nano-technology, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09416655.pdf
https://doaj.org/article/0c54b0e7262448e5bd279a112f509186
https://www.mendeley.com/catalogue/9438d7d2-8fe6-35b9-8661-39062ffebfd7/
https://ieeexplore.ieee.org/abstract/document/9416655
https://dblp.uni-trier.de/db/journals/access/access9.html#MohamedAHM21
https://doi.org/10.1109/ACCESS.2021.3076091

A novel hybrid multi operator evolutionary algorithm for dynamic distributed generation optimization and optimal feeder reconfiguration.

Autori: Ali, Aamir Saand, Abdul Sattar Ali, Shoaib a ďalší

Zdroj: Scientific Reports; 9/24/2025, Vol. 15 Issue 1, p1-28, 28p

Predmety: DISTRIBUTED power generation, EVOLUTIONARY algorithms, PARTICLE swarm optimization, MATHEMATICAL optimization, GENETIC algorithms, ELECTRIC power system stability

Optimizing Multi-Modal Electromagnetic Design Problems Using Quantum Particle Swarm Optimization With Differential Evolution

Autori: Shah Fahad Shoaib Ahmed Khan Shiyou Yang a ďalší

Zdroj: IEEE Access, Vol 11, Pp 101760-101775 (2023)

Predmety: Artificial intelligence, Premature convergence, Swarm intelligence, Metaheuristic, Evolutionary computation, 7. Clean energy, DE, Swarm behaviour, Artificial Intelligence, energy storage device (SMES), Evolutionary algorithm, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, hybridization, Geography, Multi-Objective Optimization, Multi-swarm optimization, Particle swarm optimization, Meta-optimization, Optimization Applications, Mathematical optimization, Differential Evolution, Computer science, Ant Colony Optimization, TK1-9971, Algorithm, Computational Theory and Mathematics, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Boltzmann selection strategy, Crossover, Electrical engineering. Electronics. Nuclear engineering, Smart particle, Differential evolution, Benchmark (surveying), QPSO, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy

Prístupová URL adresa: https://doaj.org/article/00ed682f369d46719fabbd735c109536

Evolutionary External Archive for Gaining‐Sharing Knowledge–Based Algorithm.

Autori: Li, Hao Tian, Zhaoning Li, Zhenhua a ďalší

Zdroj: Complexity; 9/1/2025, Vol. 2025, p1-17, 17p

Predmety: EVOLUTIONARY algorithms, DIFFERENTIAL evolution, COMPUTER performance, KNOWLEDGE base, MATHEMATICAL optimization, OPTIMIZATION algorithms, METAHEURISTIC algorithms

System architecture optimization strategies: dealing with expensive hierarchical problems.

Autori: Bussemaker, Jasper H. Saves, Paul Bartoli, Nathalie a ďalší

Zdroj: Journal of Global Optimization; Apr2025, Vol. 91 Issue 4, p851-895, 45p

Predmety: OPTIMIZATION algorithms, COMPUTATIONAL mathematics, ARTIFICIAL intelligence, JET engines, CHOICE (Psychology), EVOLUTIONARY algorithms

Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming

Autori: Luigi Rovito Andrea De Lorenzo Luca Manzoni

Zdroj: Algorithms, Vol 16, Iss 11, p 499 (2023)

Predmety: artificial intelligence, cybersecurity, cryptography, evolutionary computation, evolutionary algorithms, genetic programming, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1999-4893/16/11/499; https://doaj.org/toc/1999-4893

Prístupová URL adresa: https://doaj.org/article/e02e152e82f84ede8af8b25e32322877

Bio-inspired algorithms for energy load forecasting: A review.

Autori: Chandrasekaran, Radhika Paramasivan, Senthil Kumar

Zdroj: AIP Conference Proceedings; 2024, Vol. 2802 Issue 1, p1-11, 11p

Predmety: OPTIMIZATION algorithms, CLEAN energy, EVOLUTIONARY algorithms, BIOLOGICALLY inspired computing, ARTIFICIAL intelligence, ENERGY development

A review on soft computing optimization techniques for electromagnetics.

Autori: Prashansa Singh, Bharat Kushwaha, Nidhi

Zdroj: Frequenz; Oct2025, Vol. 79 Issue 9/10, p451-478, 28p

Predmety: SOFT computing, ELECTROMAGNETISM, EVOLUTIONARY algorithms, MULTIDISCIPLINARY design optimization, MATHEMATICAL optimization, PARTICLE swarm optimization, GENETIC algorithms

Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming †.

Autori: Rovito, Luigi De Lorenzo, Andrea Manzoni, Luca

Zdroj: Algorithms; Nov2023, Vol. 16 Issue 11, p499, 23p

Predmety: BOOLEAN functions, GENETIC programming, NONLINEAR functions, STREAM ciphers, MATHEMATICAL optimization, EVOLUTIONARY computation, EVOLUTIONARY algorithms

A new representation in genetic programming with hybrid feature ranking criterion for high-dimensional feature selection.

Autori: Li, Jiayi Zhang, Fan Ma, Jianbin

Zdroj: Complex & Intelligent Systems; Apr2025, Vol. 11 Issue 4, p1-24, 24p

Predmety: GENETIC programming, ARTIFICIAL intelligence, EVOLUTIONARY algorithms, EVOLUTIONARY computation, IMAGE processing, FEATURE selection

AI-Based Clustering of Numerical Flow Fields for Accelerating the Optimization of an Axial Turbine.

Autori: Eyselein, Simon Tismer, Alexander Raj, Rohit a ďalší

Zdroj: Energies (19961073); Feb2025, Vol. 18 Issue 3, p677, 24p

Predmety: OPTIMIZATION algorithms, TURBINE efficiency, COMPUTATIONAL fluid dynamics, RENEWABLE energy sources, EVOLUTIONARY algorithms

Metaheuristics for Portfolio Optimization: Application of NSGAII, SPEA2, and PSO Algorithms.

Autori: Abdallah, Ameni Ben Hadj Bedoui, Rihab Boubaker, Heni

Zdroj: Risks; Nov2025, Vol. 13 Issue 11, p227, 19p

Predmety: PORTFOLIO management (Investments), ASSET allocation, EVOLUTIONARY algorithms, PARTICLE swarm optimization, INVESTMENT policy, METAHEURISTIC algorithms, MULTI-objective optimization, WAR

A relevant feature combination assisted bi-level evolutionary multi-objective algorithm for feature selection in classification.

Autori: Xing, Lining Li, Jun Ma, Hong a ďalší

Zdroj: Scientific Reports; 11/10/2025, Vol. 15 Issue 1, p1-20, 20p

Predmety: FEATURE selection, MULTI-objective optimization, ERROR rates, CLASSIFICATION, EVOLUTIONARY algorithms

Feasibility-guided evolutionary optimization of pump station design and operation in water networks.

Autori: Faúndez-Lizama, Thalía Gutiérrez-Bahamondes, Jimmy H. Gajardo-Sepúlveda, Nicolás a ďalší

Zdroj: Scientific Reports; 10/2/2025, Vol. 15 Issue 1, p1-15, 15p

Predmety: MACHINE learning, PUMPING stations, HYDRAULIC models, RESOURCE allocation, WATER supply, EVOLUTIONARY algorithms, ENERGY consumption

Efficient workflow scheduling using an improved multi-objective memetic algorithm in cloud-edge-end collaborative framework.

Autori: Cui, Guangzhang Zhang, Wei Xu, Weiwei a ďalší

Zdroj: Scientific Reports; 8/13/2025, Vol. 15 Issue 1, p1-21, 21p

Predmety: ENERGY consumption, SCHEDULING, EDGE computing, MULTI-objective optimization, EVOLUTIONARY algorithms

Enhanced chimp optimization algorithm using crossover and mutation techniques with machine learning for IoT intrusion detection system.

Autori: Nasayreh, Ahmad Alawad, Noor Aldeen Jaradat, Ameera

Zdroj: Cluster Computing; Oct2025, Vol. 28 Issue 7, p1-41, 41p

Predmety: INTERNET of things, INTRUSION detection systems (Computer security), MATHEMATICAL optimization, EVOLUTIONARY algorithms, METAHEURISTIC algorithms, MACHINE learning, INTERNET security, K-nearest neighbor classification