Výsledky vyhledávání - meta-learning. articles swarm optimization. genetic programming. algorithm generation.~

Application of Meta-Heuristic Techniques for Optimal Load Shedding in Islanded Distribution Network with High Penetration of Solar PV Generation

Autoři: Mohammad Dreidy Hazlie Mokhlis Saad Mekhilef

Zdroj: Energies, Vol 10, Iss 2, p 150 (2017)

Témata: Distribution Generation (DG), Renewable Energy Resources (RESs), Under Frequency Load Shedding (UFLS), Binary Evolutionary Programming (BEP), Binary Genetic Algorithm (BGA), Binary Particle Swarm Optimization (BPSO), Technology

Relation: http://www.mdpi.com/1996-1073/10/2/150; https://doaj.org/toc/1996-1073; https://doaj.org/article/08db27028478468294524b68544a7d55

Dostupnost: https://doi.org/10.3390/en10020150
https://doaj.org/article/08db27028478468294524b68544a7d55

Uma hiper-heurística híbrida para a otimização de algorítmos

Autoři: MIRANDA, Pericles Barbosa Cunha de PRUDÊNCIO, Ricardo Bastos Cavalcante http://lattes.cnpq.br/8649204954287770 a další

Přispěvatelé: MIRANDA, Pericles Barbosa Cunha de PRUDÊNCIO, Ricardo Bastos Cavalcante http://lattes.cnpq.br/8649204954287770 a další

Témata: Meta-aprendizado. Otimização por enxame de partículas. Programação Genética. Geração de algoritmos, Meta-learning. Particle Swarm Optimization. Genetic Programming. Algorithm generation

Popis souboru: application/pdf

Relation: https://repositorio.ufpe.br/handle/123456789/18703

Dostupnost: https://repositorio.ufpe.br/handle/123456789/18703

Optimal power flow studies in direct current grids: An application of the bio-inspired elephant swarm water search algorithm

Autoři: Gil-González, Walter Holguín M. Montoya Giraldo, Oscar Danilo a další

Přispěvatelé: Gil-González, Walter Holguín M. Montoya Giraldo, Oscar Danilo a další

Zdroj: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076695717&doi=10.1088%2f1742-6596%2f1403%2f1%2f012010&partnerID=40&md5=9db251c0be8d6987441e58c8753270c9 ; Scopus2-s2.0-85076695717 ; 1st Workshop on Modeling and Simulation for Science and Engineering, WMSSE 2019.

Témata: Acoustic generators, Biomimetics, DC power transmission, Genetic algorithms, Learning algorithms, Modeling languages, Numerical methods, Problem oriented languages, Wind power, Computational effort, Distributed generators, Hybrid methodologies, Meta-heuristic optimization techniques, Meta-heuristic techniques, Optimal power flow problem, Power flow equations, Renewable power generation, Electric load flow

Popis souboru: Recurso electrónico; application/pdf

Relation: 20 August 2019 through 21 August 2019; https://hdl.handle.net/20.500.12585/9230; Universidad Tecnológica de Bolívar; Repositorio UTB; 56919564100; 57191493648; 57212444429

Dostupnost: https://hdl.handle.net/20.500.12585/9230
https://doi.org/10.1088/1742-6596/1403/1/012010

Large-Scale Optimization among Photovoltaic and Concentrated Solar Power Systems: A State-of-the-Art Review and Algorithm Analysis.

Autoři: Wang, Yi'an Wu, Zhe Ni, Dong

Zdroj: Energies (19961073); Sep2024, Vol. 17 Issue 17, p4323, 38p

Témata: METAHEURISTIC algorithms, OPTIMIZATION algorithms, PARTICLE swarm optimization, MACHINE learning, SOLAR energy

Algorithm tuners for PSO methods and genetic programming techniques for learning tuning rules.

Autoři: Kanemasa, Minoru Aiyoshi, Eitaro

Zdroj: IEEJ Transactions on Electrical & Electronic Engineering; Jul2014, Vol. 9 Issue 4, p407-414, 8p

Témata: PARTICLE swarm optimization, GENETIC programming, MATHEMATICAL optimization, GENETIC algorithms

An Enhanced Firefly Algorithm Using Pattern Search for Solving Optimization Problems

Autoři: Fazli Wahid Maryam Zia Rao Naveed Bin Rais a další

Zdroj: IEEE Access, Vol 8, Pp 148264-148288 (2020)

Témata: optimization problems, minimization and maximization functions, Economics, fast convergence, Firefly algorithm, pattern search, rich exploration and exploitation, Premature convergence, Metaheuristic, 02 engineering and technology, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Firefly Algorithm, Swarm Intelligence Optimization Algorithms, Ant colony optimization algorithms, Economic growth, Global Optimization, Meta-optimization, Particle swarm optimization, Optimization Applications, Mathematical optimization, Computer science, TK1-9971, Algorithm, Computational Theory and Mathematics, Genetic algorithm, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Convergence (economics), Maximization, Electrical engineering. Electronics. Nuclear engineering, Differential evolution, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Popis souboru: application/pdf

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163099.pdf
https://doaj.org/article/c4884aac1c2946c6a6a6a15d7b7743e7
https://dblp.uni-trier.de/db/journals/access/access8.html#WahidZRABAAKK20
https://ieeexplore.ieee.org/document/9163099

An Adaptive Location-Aware Swarm Intelligence Optimization Algorithm.

Autoři: Jiang, Shenghao Mashdoor, Saeed Parvin, Hamid a další

Zdroj: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems; Apr2021, Vol. 29 Issue 2, p249-279, 31p

Témata: SWARM intelligence, MATHEMATICAL optimization, PARTICLE swarm optimization, MATHEMATICAL programming, CLASSICAL conditioning, PROBLEM solving

Combinatorial Test Suites Generation Strategy Utilizing the Whale Optimization Algorithm

Autoři: Ali Hassan Salwani Abdullah Kamal Z. Zamli a další

Zdroj: IEEE Access, Vol 8, Pp 192288-192303 (2020)

Témata: FOS: Computer and information sciences, Population, Software Defect Prediction, Code coverage, 02 engineering and technology, Search-based software engineering, Sociology, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Heuristics, Software design, Demography, Dynamic Test Generation, Automated Software Testing Techniques, Geography, Particle swarm optimization, Mathematical optimization, Test suite, Cuckoo search, software testing, Software development, Computer science, meta-heuristic, TK1-9971, Programming language, FOS: Sociology, Algorithm, Operating system, Search-based software engineering (SBSE), T-way testing, Solver, Computer Science, Physical Sciences, Search-Based Testing, Electrical engineering. Electronics. Nuclear engineering, Software Reliability Assessment and Prediction, Test case, Benchmark (surveying), Regression analysis, combinatorial testing, Software, Mathematics, Geodesy, Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09234407.pdf
https://doaj.org/article/8c88ca18811a4fa89883a2d86d896100

Modified grasshopper optimization algorithm-based genetic algorithm for global optimization problems: the system of nonlinear equations case study

Autoři: Hazem Omar M.A. El‐Shorbagy

Témata: Economics, Quantum mechanics, Artificial Intelligence, Nonlinear programming, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, Economic growth, Numerical Analysis, Computer network, Global Optimization, Numerical Optimization Techniques, Optimization Software, Multi-Objective Optimization, 4. Education, Meta-optimization, Physics, Mathematical optimization, Rate of convergence, Computer science, Process (computing), Algorithm, Optimization algorithm, Operating system, Genetic algorithm, Particle Swarm Optimization, Channel (broadcasting), Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Convergence (economics), Nonlinear system, Global optimization, Mathematics

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

Autoři: Nandhagopal Nachimuthu Umanesan Ramakrishnan

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

Témata: 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

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

Routing algorithm with QoS constraints for real time multicast communications using particle swarm optimization and genetic meta-optimizer.

Autoři: CAMARGO, Y. E. I. S. O. N. J. U. L. I. A. N. Ramirez, Leonardo Juan Martinez, Ana Karina

Zdroj: Engineering Computations; 2016, Vol. 33 Issue 2, p344-365, 22p

Témata: QUALITY of service, WIRELESS sensor nodes, ROUTING (Computer network management), ROUTING algorithms, JAVA programming language

Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection.

Autoři: Nwogbaga, Nweso Emmanuel Latip, Rohaya Affendey, Lilly Suriani a další

Zdroj: Journal of Cloud Computing (2192-113X); 6/4/2022, Vol. 11 Issue 1, p1-17, 17p

Témata: PARTICLE swarm optimization, GENETIC algorithms, JAVA programming language, ALGORITHMS, PROCESS capability

A novel hybrid genetic differential evolution algorithm for constrained optimization problems

Autoři: Ahmed Fouad

Zdroj: International Journal of Advanced Research in Artificial Intelligence. 3

Témata: Artificial intelligence, 0211 other engineering and technologies, Stochastic programming, 02 engineering and technology, Mathematical analysis, Semantic Genetic Programming, Artificial Intelligence, Evolutionary algorithm, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Hybrid algorithm (constraint satisfaction), Constraint programming, Swarm Intelligence Optimization Algorithms, Optimization problem, Cultural algorithm, Constraint Handling, Constraint logic programming, Global Optimization, Population-based incremental learning, Geography, Meta-optimization, Optimization Applications, Mathematical optimization, Computer science, Algorithm, Computational Theory and Mathematics, Maxima and minima, Genetic algorithm, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Crossover, Differential evolution, Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy

Přístupová URL adresa: http://thesai.org/Downloads/IJARAI/Volume3No6/Paper_2-A_novel_hybrid_genetic_differential_evolution_algorithm_for_constrained_optimization_problems.pdf
https://thesai.org/Publications/ViewPaper?Volume=3&Issue=6&Code=IJARAI&SerialNo=2
https://thesai.org/Downloads/IJARAI/Volume3No6/Paper_2-A_novel_hybrid_genetic_differential_evolution_algorithm_for_constrained_optimization_problems.pdf
https://thesai.org/Publications/ViewPaper?Volume=3&Issue=5&Code=ijarai&SerialNo=5

Evolutionary Computation: Theories, Techniques, and Applications.

Autoři: Cicirello, Vincent A.

Zdroj: Applied Sciences (2076-3417); Mar2024, Vol. 14 Issue 6, p2542, 6p

Témata: EVOLUTIONARY computation, EVOLUTIONARY algorithms, PARTICLE swarm optimization, ANT algorithms, OPTIMIZATION algorithms, DIFFERENTIAL forms, GENETIC programming

Flexible Genetic Algorithm for Complex Optimization Problems

Autoři: Hemmak Allaoua

Témata: Artificial intelligence, Population, Genetic Programming, Semantic Genetic Programming, Selection (genetic algorithm), Sociology, Artificial Intelligence, Field (mathematics), FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, Demography, Global Optimization, Genetic Algorithms, Meta-optimization, Mathematical optimization, Pure mathematics, Computer science, FOS: Sociology, Algorithm, Computational Theory and Mathematics, Genetic algorithm, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Crossover, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction.

Autoři: Ghazvinian, Hamidreza Mousavi, Sayed-Farhad Karami, Hojat a další

Zdroj: PLoS ONE; 5/31/2019, Vol. 14 Issue 5, p1-24, 24p

Témata: PARTICLE swarm optimization, SOLAR radiation, MATHEMATICAL optimization, GENETIC programming, SOLAR energy, GENETIC algorithms

Geografický termín: KONYA (Turkey), TURKEY

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

Autoři: Shah Fahad Shoaib Ahmed Khan Shiyou Yang a další

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

Témata: 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

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

A Hybrid Global Optimization Method Based on Genetic Algorithm and Shrinking Box

Autoři: Saleem Z. Ramadan

Zdroj: Modern Applied Science. 10:67

Témata: Artificial intelligence, 0209 industrial biotechnology, 0211 other engineering and technologies, Fitness function, Penalty method, Evolutionary biology, 02 engineering and technology, Operator (biology), Biochemistry, Gene, Artificial Intelligence, Black box, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, 10. No inequality, Constraint Handling, Biology, Global Optimization, Geography, Multi-Objective Optimization, Genetic Algorithms, Meta-optimization, Optimization Applications, Mathematical optimization, Computer science, Algorithm, Chemistry, Computational Theory and Mathematics, Genetic algorithm, Function (biology), Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Crossover, Repressor, Global optimization, Benchmark (surveying), Transcription factor, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy

Přístupová URL adresa: http://www.ccsenet.org/journal/index.php/mas/article/download/52563/30137
https://www.ccsenet.org/journal/index.php/mas/article/view/52563
https://www.ccsenet.org/journal/index.php/mas/article/download/52563/30137

Dynamic economic dispatch: a comparative study for differential evolution, particle swarm optimization, evolutionary programming, genetic algorithm, and simulated annealing

Autoři: Jagat Kishore Pattanaik Mousumi Basu Deba Prasad Dash

Zdroj: Journal of Electrical Systems and Information Technology, Vol 6, Iss 1, Pp 1-18 (2019)

Témata: Dynamic economic dispatch, Differential evolution, Particle swarm optimization, Evolutionary programming, Genetic algorithm, Simulated annealing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Information technology, T58.5-58.64

Relation: http://link.springer.com/article/10.1186/s43067-019-0001-4; https://doaj.org/toc/2314-7172; https://doaj.org/article/34d54be82e78414584039c2990acbf3c

Dostupnost: https://doi.org/10.1186/s43067-019-0001-4
https://doaj.org/article/34d54be82e78414584039c2990acbf3c

Leveraging meta-heuristic algorithms for effective software fault prediction: a comprehensive study.

Autoři: Dang, Zhizheng Wang, Hui

Zdroj: Journal of Engineering & Applied Science; 9/27/2024, Vol. 71 Issue 1, p1-34, 34p

Témata: SOFTWARE reliability, METAHEURISTIC algorithms, ANT algorithms, COMPUTER software quality control, BEES algorithm, PARTICLE swarm optimization