Výsledky vyhledávání - "Application of Genetic Programming in Machine Learning"

Investigating boosting techniques’ efficacy in feature selection: A comparative analysis

Autoři: Ubaid Ahmed Anzar Mahmood Majid Ali Tunio a další

Zdroj: Energy Reports. 11:3521-3532

Témata: Artificial intelligence, Electricity Price and Load Forecasting Methods, 4. Education, Load Forecasting, Boosting (machine learning), 15. Life on land, Pattern recognition (psychology), Computer science, 7. Clean energy, Engineering, Selection (genetic algorithm), Artificial Intelligence, 13. Climate action, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Feature selection, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Feature Selection, Short-Term Forecasting, Probabilistic Forecasting, Forecasting

IHHO: an improved Harris Hawks optimization algorithm for solving engineering problems

Autoři: Dalia T. Akl Mahmoud M. Saafan Amira Y. Haikal a další

Zdroj: Neural Computing and Applications. 36:12185-12298

Témata: 0209 industrial biotechnology, Bayesian Optimization, Multi-Objective Optimization, 4. Education, Optimization Applications, Mathematical optimization, 02 engineering and technology, Metaheuristics, 15. Life on land, Computer science, 7. Clean energy, Algorithm, Optimization algorithm, Computational Theory and Mathematics, Artificial Intelligence, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Multiobjective Optimization in Evolutionary Algorithms, Constraint Handling, Mathematics

Optimizing neural network algorithms for submerged membrane bioreactor: A comparative study of OVAT and RSM hyperparameter optimization techniques

Autoři: Syahira Ibrahim Norhaliza Abdul Wahab

Zdroj: Water Science and Technology, Vol 89, Iss 7, Pp 1701-1724 (2024)

Témata: Artificial neural network, Artificial intelligence, Hyperparameter Optimization, neural network, Bioreactor, 02 engineering and technology, doe implementation, Environmental technology. Sanitary engineering, 01 natural sciences, Learning with Noisy Labels in Machine Learning, Bioreactors, Engineering, Response surface methodology, Artificial Intelligence, Machine learning, FOS: Mathematics, Computer Simulation, Swarm Intelligence Optimization Algorithms, Biology, TD1-1066, 0105 earth and related environmental sciences, Hyperparameter, Multi-Objective Optimization, computational time, submerged membrane bioreactor data, Optimization Applications, Botany, optimization techniques, Computer science, Ant Colony Optimization, 6. Clean water, Biochemical engineering, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Neural Networks, Computer, 0210 nano-technology, Algorithms, Mathematics

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38619898
https://doaj.org/article/c8bb7ab8ab2345c4b2debbad56d53d08

Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems

Autoři: Manuel Costanzo Enzo Rucci Carlos García a další

Přispěvatelé: Manuel Costanzo Enzo Rucci Carlos García a další

Zdroj: Docta Complutense
instname

Témata: Parallel computing, Programmer, 0301 basic medicine, FOS: Computer and information sciences, Bioinformatics, 0206 medical engineering, GPU, CUDA, 02 engineering and technology, 03 medical and health sciences, Sequence alignment, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, 1203.17 Informática, RNA Sequencing Data Analysis, Molecular Biology, SYCL, 0303 health sciences, Computer Science - Programming Languages, Prediction of Protein Subcellular Localization, oneAPI, Protein, Life Sciences, DNA, Computer science, Programming language, 3. Good health, Computer Science - Distributed, Parallel, and Cluster Computing, Ciencias, Application of Genetic Programming in Machine Learning, Implementation, SYCLomatic, Computer Science, Physical Sciences, sequence alignment, Distributed, Parallel, and Cluster Computing (cs.DC), Software portability, Programming Languages (cs.PL)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2211.10769
https://hdl.handle.net/20.500.14352/113792

A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference

Autoři: Rohit Salgotra Pankaj Sharma S. Sivanaga Raju a další

Zdroj: Archives of Computational Methods in Engineering. 31:1749-1822

Témata: 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

An efficient adaptive-mutated Coati optimization algorithm for feature selection and global optimization

Autoři: Fatma A. Hashim Essam H. Houssein Reham R. Mostafa a další

Zdroj: Alexandria Engineering Journal, Vol 85, Iss, Pp 29-48 (2023)

Témata: Feature selection, Coati optimization algorithm, Optimization problems, Optimization, Artificial intelligence, Beräkningsmatematik, Biomedical Engineering, Metaheuristic, Operator (biology), FOS: Medical engineering, Biochemistry, Gene, 7. Clean energy, Engineering, Artificial Intelligence, Evolutionary algorithm, Machine learning, Artificial Immune Systems in Science and Engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Feature Selection, Optimization problem, Global Optimization, Multi-Objective Optimization, Particle swarm optimization, Optimization Applications, Mathematical optimization, Test suite, 15. Life on land, Engineering (General). Civil engineering (General), Computer science, Algorithm, Computational Mathematics, Chemistry, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Repressor, TA1-2040, Test case, Transcription factor, Regression analysis, Mathematics

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/d906edae9d5447ee902c25afa6508348
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-200389

Noise generator by free FPGA technology

Autoři: Alfredo Cortez Zulay Franco José Antonio Muci Borjas

Zdroj: Universidad Ciencia y Tecnología. 27:64-73

Témata: MATLAB, Geometry, White noise, Random number generation, Gaussian noise, Quantum mechanics, Artificial Intelligence, Fast Fourier transform, Additive white Gaussian noise, FOS: Mathematics, Floating-Point Arithmetic in Scientific Computation, Theoretical and Computational Physics, Physics, Statistical and Nonlinear Physics, Computer hardware, FPGA Acceleration, Computer science, Field-programmable gate array, Algorithm, Operating system, Computational Theory and Mathematics, Physics and Astronomy, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Gaussian, Telecommunications, Block (permutation group theory), Mathematics

On the automatic design of multi-objective particle swarm optimizers: experimentation and analysis

Autoři: Antonio J. Nebro Manuel López‐Ibáñez José García-Nieto a další

Zdroj: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Témata: Artificial intelligence, Calidad total, Swarm behaviour, Systems engineering, Task (project management), Algoritmos computacionales, Engineering, Artificial Intelligence, Computer security, Machine learning, Swarm Intelligence Optimization Algorithms, Key (lock), Automatic algorithm design, Global Optimization, Multi-Objective Optimization, Particle swarm optimization, Optimization Applications, Computer science, Optimización matemática, Multi-objective optimization, Benchmarking, Computational Theory and Mathematics, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Multiobjective Optimization in Evolutionary Algorithms

Přístupová URL adresa: https://hdl.handle.net/10630/27853

A novel reinforcement learning-based reptile search algorithm for solving optimization problems

Autoři: Mohamed Ghetas Mohamed Issa

Zdroj: Neural Computing and Applications. 36:533-568

Témata: Artificial intelligence, Population, 02 engineering and technology, Local optimum, Sociology, Artificial Intelligence, Reinforcement learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Constraint Handling, Demography, Geography, 4. Education, Optimization Applications, Mathematical optimization, 15. Life on land, Computer science, Ant Colony Optimization, FOS: Sociology, Algorithm, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Benchmark (surveying), Mathematics, Geodesy

Improved versions of crow search algorithm for solving global numerical optimization problems

Autoři: Alaa Sheta Malik Braik Heba Al-Hiary a další

Zdroj: Applied Intelligence. 53:26840-26884

Témata: 0209 industrial biotechnology, Artificial intelligence, Economics, Heuristic, 02 engineering and technology, Mathematical analysis, Quantum mechanics, 7. Clean energy, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Optimization problem, 220403 Artificial intelligence, Constraint Handling, Economic growth, Global Optimization, Domain (mathematical analysis), Geography, Physics, Optimization Applications, Mathematical optimization, Power (physics), 15. Life on land, Computer science, Process (computing), Algorithm, Operating system, Engineering optimization, Reliability (semiconductor), Computational Theory and Mathematics, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Convergence (economics), Information and computing sciences, Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy, Communications engineering

Dimensionality reduction approach based on modified hunger games search: case study on Parkinson’s disease phonation

Autoři: Fatma A. Hashim Nabil Neggaz Reham R. Mostafa a další

Zdroj: Neural Computing and Applications. 35:21979-22005

Témata: FOS: Computer and information sciences, Artificial intelligence, Economics, Development of Multimedia Learning Systems, Energy Engineering, 7. Clean energy, Swarm behaviour, Range (aeronautics), Engineering, Artificial Intelligence, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Constraint Handling, Economic growth, Curse of dimensionality, 2. Zero hunger, Global Optimization, Geography, Multi-Objective Optimization, Optimization Applications, Mathematical optimization, 15. Life on land, Computer science, Dimensionality reduction, Classification, Hunger games search, Methaheuristics algorithms, Parkinsons disease, Energiteknik, Algorithm, Aerospace engineering, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Convergence (economics), Benchmark (surveying), Mathematics, Geodesy, Information Systems

Popis souboru: application/pdf

Přístupová URL adresa: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-198662

Adaptive differential evolution with fitness-based crossover rate for global numerical optimization

Autoři: Lianzheng Cheng Jiaxi Zhou X. Hu a další

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 1, Pp 551-576 (2023)

Témata: Population size reduction, Artificial intelligence, 0209 industrial biotechnology, FOS: Political science, Population, Norm (philosophy), Robustness (evolution), Bimodal parameter setting, FOS: Law, Information technology, 02 engineering and technology, Biochemistry, Gene, Crossover rate, Sociology, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Optimization problem, Political science, Demography, Computational intelligence, Geography, Minification, Mathematical optimization, Differential Evolution, QA75.5-76.95, T58.5-58.64, Computer science, FOS: Sociology, Chemistry, Computational Theory and Mathematics, Electronic computers. Computer science, Application of Genetic Programming in Machine Learning, Outlier, Computer Science, Physical Sciences, Crossover, Global optimization, Differential evolution, Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Law, Mathematics, Geodesy

Přístupová URL adresa: https://doaj.org/article/83a5c28b42a2416bb8cf49f7804f8399

Enhanced SparseEA for large-scale multi-objective feature selection problems

Autoři: Shu‐Chuan Chu Zhongjie Zhuang Jeng‐Shyang Pan a další

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 1, Pp 485-507 (2023)

Témata: Artificial intelligence, Feature weights, Scale (ratio), Feature (linguistics), Symbolic Regression, Information technology, 02 engineering and technology, SparseEA, Redundancy (engineering), Pattern recognition (psychology), Quantum mechanics, Selection (genetic algorithm), Artificial Intelligence, Evolutionary algorithm, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Feature Selection, Difference operator, Constraint Handling, Data mining, Computational intelligence, Bayesian Optimization, Sparse multi-objective problems, Multi-Objective Optimization, Physics, 4. Education, Large-scale feature selection, Linguistics, QA75.5-76.95, 15. Life on land, T58.5-58.64, Computer science, FOS: Philosophy, ethics and religion, Algorithm, Philosophy, Operating system, Computational Theory and Mathematics, Electronic computers. Computer science, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Feature selection, FOS: Languages and literature, Differential evolution, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Přístupová URL adresa: https://doaj.org/article/b7fb4ef0500d40edb3dd646757e5d2cd

A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control

Autoři: Hai-Long Tran L. Doan Ngoc Hoang Luong a další

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :577-585

Témata: Artificial intelligence, Metric (unit), Robot, Robustness (evolution), Reinforcement Learning Algorithms, Evolutionary computation, Biochemistry, Gene, Context (archaeology), Engineering, Artificial Intelligence, Evolutionary algorithm, Reinforcement learning, Machine learning, FOS: Mathematics, Biology, Geography, Multi-Objective Optimization, Mathematical optimization, Paleontology, Reinforcement Learning, Computer science, Multi-objective optimization, Chemistry, Operations management, Computational Theory and Mathematics, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Evolutionary Algorithms, Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Pareto principle, Mathematics, Geodesy

MOIMPA: multi-objective improved marine predators algorithm for solving multi-objective optimization problems

Autoři: Mohamed H. Hassan Fatima Daqaq Ali Selim a další

Zdroj: Soft Computing. 27:15719-15740

Témata: Robustness (evolution), 02 engineering and technology, Evolutionary computation, Biochemistry, Gene, Artificial Intelligence, Evolutionary algorithm, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, 10. No inequality, Geography, Multi-Objective Optimization, Mathematical optimization, Test suite, Computer science, Multi-objective optimization, Algorithm, Chemistry, Computational Theory and Mathematics, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Benchmark (surveying), Test case, Multiobjective Optimization in Evolutionary Algorithms, Pareto principle, Regression analysis, Mathematics, Geodesy

An Improved Reptile Search Algorithm with Ghost Opposition-based Learning for Global Optimization Problems

Autoři: Heming Jia Chenghao Lu Di Wu a další

Zdroj: Journal of Computational Design and Engineering. 10:1390-1422

Témata: Robustness (evolution), Local optimum, 02 engineering and technology, Biochemistry, Quantum mechanics, Gene, Simulated annealing, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Initialization, Constraint Handling, Global Optimization, Jump, Local search (optimization), Geography, Physics, Mathematical optimization, 15. Life on land, Computer science, Ant Colony Optimization, Programming language, Algorithm, Optimization algorithm, Chemistry, Computational Theory and Mathematics, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy

Multi-strategy Remora Optimization Algorithm for solving multi-extremum problems

Autoři: Heming Jia Yongchao Li Di Wu a další

Zdroj: Journal of Computational Design and Engineering. 10:1315-1349

Témata: Economics, Metaheuristic, Evolutionary biology, 02 engineering and technology, Quantum mechanics, 7. Clean energy, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Entropy (arrow of time), Foraging, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Optimization problem, Biology, Economic growth, Ecology, Geography, Multi-Objective Optimization, Physics, Optimization Applications, Mathematical optimization, 15. Life on land, Computer science, Ant Colony Optimization, Survival of the fittest, Computational Theory and Mathematics, Particle Swarm Optimization, Application of Genetic Programming in Machine Learning, FOS: Biological sciences, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Convergence (economics), Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy

Heterogeneous differential evolution particle swarm optimization with local search

Autoři: Anping Lin Dong Liu Zhongqi Li a další

Zdroj: Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6905-6925 (2023)

Témata: Artificial intelligence, 0209 industrial biotechnology, Construct (python library), Information technology, 02 engineering and technology, Artificial Intelligence, Evolutionary algorithm, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Biology, Computational intelligence, Ecology, Multi-swarm optimization, Industrial refrigeration system design, Particle swarm optimization, Mathematical optimization, Local search, Differential Evolution, QA75.5-76.95, T58.5-58.64, Computer science, Programming language, Adaptability, Computational Theory and Mathematics, Particle Swarm Optimization, Electronic computers. Computer science, Application of Genetic Programming in Machine Learning, FOS: Biological sciences, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Differential evolution, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Přístupová URL adresa: https://doaj.org/article/4dbbad38dc5a40ceaaca10307ccc963f

Adaptive Endpoints Selection with Application in Rare Disease

Autoři: Huan Xu Yi Liu Robert A. Beckman

Zdroj: Statistics in Biopharmaceutical Research. 16:55-63

Témata: Artificial intelligence, Evolutionary biology, Computer science, 01 natural sciences, 3. Good health, Computational biology, 03 medical and health sciences, Selection (genetic algorithm), 0302 clinical medicine, Artificial Intelligence, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Medicine, Disease, 0101 mathematics, Rare disease, Internal medicine, Biology

Offline Pre-trained Multi-agent Decision Transformer

Autoři: Linghui Meng Muning Wen Chenyang Le a další

Zdroj: Machine Intelligence Research. 20:233-248

Témata: Artificial intelligence, Marl, Reinforcement Learning Algorithms, Generalization, Offline learning, Mathematical analysis, 7. Clean energy, decision making, Learning with Noisy Labels in Machine Learning, Multi-Agent Systems, Systems engineering, Task (project management), Engineering, Artificial Intelligence, Meta-Learning, Reinforcement learning, Machine learning, FOS: Mathematics, 14. Life underwater, Biology, Transformer, 4. Education, multi-agent reinforcement learning (MARL), Paleontology, Voltage, Pre-training model, 15. Life on land, Reinforcement Learning, Computer science, Structural basin, Operating system, Multimedia, Online learning, Application of Genetic Programming in Machine Learning, Electrical engineering, Computer Science, Physical Sciences, transformer, Online and offline, offline reinforcement learning, Mathematics, Robust Learning

Přístupová URL adresa: https://discovery-pp.ucl.ac.uk/id/eprint/10168378/