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

Combinatorial Test Suites Generation Strategy Utilizing the Whale Optimization Algorithm

Autori: Ali Hassan Salwani Abdullah Kamal Z. Zamli a ďalší

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

Predmety: 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

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

Uma hiper-heurística híbrida para a otimização de algorítmos

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

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

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

Popis súboru: application/pdf

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

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

The solution of the economic dispatch problem via an efficient Teaching-Learning-Based Optimization method

Autori: Carlos A. Castro Fernanda L. Silva

Zdroj: TESEA, Transactions on Energy Systems and Engineering Applications, Vol 4, Iss 1 (2023)

Predmety: Artificial intelligence, Economic dispatch, Electricity Price and Load Forecasting Methods, 0211 other engineering and technologies, Metaheuristic, Set (abstract data type), Metaheuristics, 02 engineering and technology, Power Systems Simulation, Parallel metaheuristic, Quantum mechanics, 7. Clean energy, Metaheuristic Algorithms, Electric power system, Nonconvex Model, Engineering, Artificial Intelligence, Teaching-Learning-Based Optimization, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Generator (circuit theory), Electrical and Electronic Engineering, Swarm Intelligence Optimization Algorithms, Optimization problem, Constraint Handling, Global Optimization, Meta-optimization, Physics, Power System Constraints, Economic Dispatch Problem, Optimization Applications, Mathematical optimization, Load Forecasting, Electricity Market Operation and Optimization, Power (physics), Engineering (General). Civil engineering (General), Power Generation Optimization, Computer science, Programming language, Algorithm, Physical Sciences, Computer Science, Power Balance, TA1-2040, Parameter-Free Algorithm, Mathematics

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/64077875f8554f2692c421eae67c4929

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

Autori: Mohammad Dreidy Hazlie Mokhlis Saad Mekhilef

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

Predmety: 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

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

Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm)

Autori: Saeed Khaljastani Habib Piri Reza Sotoudeh

Zdroj: مدیریت دولتی, Vol 16, Iss 3, Pp 562-600 (2024)

Predmety: ceo compensation sensitivity, deep learning, genetic algorithm, particle swarm optimization, Political institutions and public administration (General), JF20-2112

Relation: https://jipa.ut.ac.ir/article_98699_16e0807a1976c74f33fb9b845b9f02af.pdf; https://doaj.org/toc/2008-5877; https://doaj.org/toc/2423-5342; https://doaj.org/article/4d1a95089caf484bad8767e9d9b9010b

Dostupnosť: https://doi.org/10.22059/jipa.2024.373930.3482
https://doaj.org/article/4d1a95089caf484bad8767e9d9b9010b

An Adaptive Location-Aware Swarm Intelligence Optimization Algorithm.

Autori: Jiang, Shenghao Mashdoor, Saeed Parvin, Hamid a ďalší

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

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

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

Autori: Dang, Zhizheng Wang, Hui

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

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

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

Autori: Wang, Yi'an Wu, Zhe Ni, Dong

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

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

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

Autori: Gil-González, Walter Holguín M. Montoya Giraldo, Oscar Danilo a ďalší

Prispievatelia: Gil-González, Walter Holguín M. Montoya Giraldo, Oscar Danilo a ďalší

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.

Predmety: 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 súboru: 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

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

Locating and Sizing of Distributed Generation Sources and Parallel Capacitors Using Multiple Objective Particle Swarm Optimization Algorithm.

Autori: Kamarposhti, Mehrdad Ahmadi Lorenzini, Giulio Solyman, Ahmed Amin Ahmed

Zdroj: Mathematical Modelling of Engineering Problems; Feb2021, Vol. 8 Issue 1, p10-24, 15p

Predmety: PARTICLE swarm optimization, CAPACITORS, DISTRIBUTED power generation, COST control, DISTRIBUTED resources (Electric utilities)

An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization

Autori: Yetao Ji Jiaze Tu Hanfeng Zhou a ďalší

Zdroj: Complexity, Vol 2020 (2020)

Predmety: Artificial intelligence, Chaotic, Economics, Symbolic Regression, 0211 other engineering and technologies, Geometry, Heuristic, Set (abstract data type), 02 engineering and technology, Biochemistry, Gene, Sine, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Heuristics, Swarm Intelligence Optimization Algorithms, Constraint Handling, Economic growth, Trigonometric functions, Global Optimization, Geography, Optimization Applications, Mathematical optimization, QA75.5-76.95, Computer science, Programming language, Algorithm, Chemistry, Computational Theory and Mathematics, Electronic computers. Computer science, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Convergence (economics), Transformation (genetics), Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy

Popis súboru: text/xhtml

Prístupová URL adresa: https://downloads.hindawi.com/journals/complexity/2020/6084917.pdf
https://doaj.org/article/3d66f499c38b44f9bf920c8aba390fa4
https://downloads.hindawi.com/journals/complexity/2020/6084917.pdf
https://dblp.uni-trier.de/db/journals/complexity/complexity2020.html#JiTZGLCW20
https://doi.org/10.1155/2020/6084917
http://downloads.hindawi.com/journals/complexity/2020/6084917.pdf
https://ideas.repec.org/a/hin/complx/6084917.html
https://www.hindawi.com/journals/complexity/2020/6084917/

Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO).

Autori: Hemeida, Mahmoud G. Alkhalaf, Salem Mohamed, Al-Attar A. a ďalší

Zdroj: Energies (19961073); Aug2020, Vol. 13 Issue 15, p3847, 1p

Predmety: MATHEMATICAL optimization, MOBULIDAE, PARTICLE swarm optimization, BEES algorithm, ALGORITHMS, LEVY processes, BUS transportation

Korporácia: INSTITUTE of Electrical & Electronics Engineers

Optimal Coordination of DOC Relays Incorporated into a Distributed Generation-Based Micro-Grid Using a Meta-Heuristic MVO Algorithm

Autori: Abdelsalam Diab

Zdroj: Energies, Vol 12, Iss 21, p 4115 (2019)
Energies
Volume 12
Issue 21

Predmety: Technology, Renewable energy, Artificial intelligence, 0211 other engineering and technologies, Geometry, Overcurrent, Heuristic, micro-grids, 02 engineering and technology, Quantum mechanics, 7. Clean energy, Electric power system, Engineering, Islanding Detection Methods for Distributed Generations, Nonlinear programming, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Grid, Optimization problem, distributed generation, multi verse, Particle swarm optimization, Physics, Mathematical optimization, Relay Coordination, Voltage, Power (physics), Optimal Coordination, Computer science, Adaptive Protection Schemes for Microgrids, Algorithm, Optimization algorithm, Control and Systems Engineering, Electrical engineering, Physical Sciences, Nonlinear system, Distributed generation, directional overcurrent relays, optimization, Mathematics, Modular Multilevel Converters in HVDC Systems

Popis súboru: application/pdf

Prístupová URL adresa: https://www.mdpi.com/1996-1073/12/21/4115/pdf
https://doaj.org/article/96946f5416974f28aed519869a821cdc
https://www.mdpi.com/1996-1073/12/21/4115/pdf
https://www.mdpi.com/1996-1073/12/21/4115/htm

A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification.

Autori: Li, Hong Zhang, Li

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Nov2021, Vol. 32 Issue 11, p4901-4915, 15p

Predmety: BILEVEL programming, MACHINE learning, ARTIFICIAL neural networks, PARTICLE swarm optimization, INTERACTIVE learning, ALGORITHMS

A Multi-Strategy Co-Evolutionary Particle Swarm Optimization Algorithm with Its Convergence Analysis.

Autori: Meng, Xiaoding Li, Hecheng Zhang, Tianfeng

Zdroj: Asia-Pacific Journal of Operational Research; Aug2025, Vol. 42 Issue 4, p1-30, 30p

Predmety: PARTICLE swarm optimization, METAHEURISTIC algorithms, REINFORCEMENT learning, OPTIMIZATION algorithms, COEVOLUTION, MATHEMATICAL programming, MATHEMATICAL optimization

A modified particle swarm optimization algorithm for scheduling renewable generation in a micro-grid under load uncertainty.

Autori: Gholami, Khalil Dehnavi, Ehsan

Zdroj: Applied Soft Computing. May2019, Vol. 78, p496-514. 19p.

Predmety: Particle swarm optimization, Stochastic programming, Renewable energy sources, Uncertainty, Algorithms, Stochastic models

Swarm-based metaheuristics in automatic programming: a survey.

Autori: Olmo, Juan L. Romero, José R. Ventura, Sebastián

Zdroj: WIREs: Data Mining & Knowledge Discovery; Nov2014, Vol. 4 Issue 6, p445-469, 25p

Predmety: SWARM intelligence, ARTIFICIAL intelligence, INTERPERSONAL relations, METAHEURISTIC algorithms, COMPUTER programming, AUTOMATIC programming (Computer science)

Hybrid PIPSO-SQP Algorithm for Real Power Loss Minimization in Radial Distribution Systems with Optimal Placement of Distributed Generation

Autori: S. Angalaeswari P. Sanjeevikumar K. Jamuna a ďalší

Zdroj: Sustainability, Vol 12, Iss 5787, p 5787 (2020)

Predmety: Radial distribution systems, Sequential Quadratic Programming, Distributed generation, Power loss minimization, Parameter Improved Particle Swarm Optimization, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/12/14/5787; https://doaj.org/toc/2071-1050; https://doaj.org/article/e5eabd9b586b46c798763aee84f1b5ff

Dostupnosť: https://doi.org/10.3390/su12145787
https://doaj.org/article/e5eabd9b586b46c798763aee84f1b5ff

Max-Min Fairness Optimization in Uplink Cell-Free Massive MIMO Using Meta-Heuristics.

Autori: Conceicao, Filipe Antunes, Carlos Henggeler Gomes, Marco a ďalší

Zdroj: IEEE Transactions on Communications; Mar2022, Vol. 70 Issue 3, p1792-1807, 16p

Predmety: CENTRAL processing units, DIFFERENTIAL evolution, CONVEX programming, FAIRNESS, DATA transmission systems, PARTICLE swarm optimization, METAHEURISTIC algorithms

An Enhanced Firefly Algorithm Using Pattern Search for Solving Optimization Problems

Autori: Fazli Wahid Maryam Zia Rao Naveed Bin Rais a ďalší

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

Predmety: 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 súboru: application/pdf

Prístupová 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