Výsledky vyhľadávania - "Binary metaheuristic algorithms"

Wrapper Feature Selection: Comparative Study of Binary Metaheuristic Algorithms

Autori: Abderezak Salmi Kahina Teklal Kamal Hammouche

Zdroj: 2024 International Conference of the African Federation of Operational Research Societies (AFROS). :1-5

A survey on binary metaheuristic algorithms and their engineering applications

Autori: Jeng-Shyang Pan Pei Hu Václav Snášel a ďalší

Zdroj: Artif Intell Rev

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Article

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36466763

Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application

Autori: Mohamed Abdel-Basset Reda Mohamed Safaa Saber a ďalší

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102093- (2024)

Predmety: Knapsack problems, Repair operator 2, Metaheuristic algorithms, Merkle–Hellman knapsack cryptosystem, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1319157824001824; https://doaj.org/toc/1319-1578

Prístupová URL adresa: https://doaj.org/article/0aee5287a5ff4e39a45d4c302a2ea400

Comparative Analysis of Transfer Function-based Binary Metaheuristic Algorithms for Feature Selection

Autori: Mohammad H. Nadimi-Shahraki Hoda Zamani Shokooh Taghian

Zdroj: 2018 International Conference on Artificial Intelligence and Data Processing (IDAP). :1-6

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://xplorestaging.ieee.org/ielx7/8606660/8620719/08620828.pdf?arnumber=8620828
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8620828

Multi-objective optimization of IoT-based green building energy system using binary metaheuristic algorithms

Autori: Qiong Wang Gang Chen Mohammad Khishe a ďalší

Zdroj: Journal of Building Engineering. 68:106031

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application

Autori: Abdel-Basset, Mohamed Mohamed, Reda Saber, Safaa a ďalší

Dostupnosť: https://hdl.handle.net/11250/3180713

Feature selection convergence time comparison of various binary metaheuristic algorithms.

Autori: Amal H. Alharbi Faris H. Rizk Khaled Sh. Gaber a ďalší

Predmety: Medicine, Ecology, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, sustainable crop production, polar rose search, optimized model achieved, limited agricultural environments, inspired algorithm modeled, framework &# 8217, ensure optimal growth, effectively balancing exploration, crops like potatoes, computationally efficient predictions, bird foraging behavior, unified optimization process, dipper throated optimization, optimization phases, metaheuristic optimization, wilcoxon tests, thereby contributing, study presents, smart agriculture, results demonstrate, rbfn ), quality irrigation, provide accurate, performance improvements

Relation: https://figshare.com/articles/figure/Feature_selection_convergence_time_comparison_of_various_binary_metaheuristic_algorithms_/29612876

Dostupnosť: https://doi.org/10.1371/journal.pone.0327230.g007
https://figshare.com/articles/figure/Feature_selection_convergence_time_comparison_of_various_binary_metaheuristic_algorithms_/29612876

A survey on binary metaheuristic algorithms and their engineering applications.

Autori: Pan, Jeng-Shyang Hu, Pei Snášel, Václav a ďalší

Zdroj: Artificial Intelligence Review; Jul2023, Vol. 56 Issue 7, p6101-6167, 67p

Predmety: METAHEURISTIC algorithms, FEATURE selection, BINARY codes, STRUCTURAL engineering, ENGINEERING, TRANSFER functions

Binary Peacock Algorithm: A Novel Metaheuristic Approach for Feature Selection.

Autori: Banati, Hema Sharma, Richa Yadav, Asha

Zdroj: Journal of Classification. Jul2024, Vol. 41 Issue 2, p216-244. 29p.

Predmety: Metaheuristic algorithms, Feature selection, Peafowl, Animal sexual behavior, Lek behavior, Memetics

Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data

Autori: Mohammad H. Nadimi-Shahraki Ali Fatahi Hoda Zamani a ďalší

Zdroj: Mathematics ; Volume 10 ; Issue 15 ; Pages: 2770

Predmety: optimization, feature selection, binary metaheuristic algorithms, swarm intelligence algorithms, medical datasets, transfer functions, classification, machine learning

Popis súboru: application/pdf

Relation: E4: Mathematical Physics; https://dx.doi.org/10.3390/math10152770

Dostupnosť: https://doi.org/10.3390/math10152770

Binary Starling Murmuration Optimizer Algorithm to Select Effective Features from Medical Data

Autori: Mohammad H. Nadimi-Shahraki Zahra Asghari Varzaneh Hoda Zamani a ďalší

Zdroj: Applied Sciences, Vol 13, Iss 1, p 564 (2022)

Predmety: disease diagnosis, medical data, feature selection, binary metaheuristic algorithms, starling murmuration optimizer (SMO), transfer function, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/1/564; https://doaj.org/toc/2076-3417; https://doaj.org/article/bf249f810ad149b3978449fb3b4cb10b

Dostupnosť: https://doi.org/10.3390/app13010564
https://doaj.org/article/bf249f810ad149b3978449fb3b4cb10b

B-MFO: a binary moth-flame optimization for feature selection from medical datasets

Autori: Nadimi-Shahraki, Mohammad H Banaie-Dezfouli, Mahdis Zamani, Hoda a ďalší

Predmety: Information systems, Engineering, Information and computing sciences, optimization, binary metaheuristic algorithms, swarm intelligence algorithms, feature selection, medical datasets, transfer function

Relation: Computers; Nadimi-Shahraki, MH; Banaie-Dezfouli, M; Zamani, H; Taghian, S; Mirjalili, S, B-MFO: a binary moth-flame optimization for feature selection from medical datasets, Computers, 10 (11), pp. 136-136; https://hdl.handle.net/10072/409491

Dostupnosť: https://hdl.handle.net/10072/409491
https://doi.org/10.3390/computers10110136

Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm.

Autori: M. El-Kenawy, El-Sayed Khodadadi, Nima Eid, Marwa M. a ďalší

Zdroj: Scientific Reports; 3/19/2025, Vol. 15 Issue 1, p1-19, 19p

Methods for Binarization of Metaheuristic Algorithms for Constructing Compact Fuzzy Classifiers of Medical Data.

Autori: Bardamova, M. Svetlakov, M. Sarin, K. a ďalší

Zdroj: Pattern Recognition & Image Analysis; Dec2024, Vol. 34 Issue 4, p1303-1322, 20p

BE-GWO: Binary extremum-based grey wolf optimizer for discrete optimization problems.

Autori: Banaie-Dezfouli, Mahdis Nadimi-Shahraki, Mohammad H. Beheshti, Zahra

Zdroj: Applied Soft Computing. Oct2023, Vol. 146, pN.PAG-N.PAG. 1p.

Predmety: Metaheuristic algorithms, Transfer functions, Feature selection, Knapsack problems, Cosine function

Enhanced Polar Lights Optimization with Cryptobiosis and Differential Evolution for Global Optimization and Feature Selection.

Autori: Gao, Yang Cheng, Liang

Zdroj: Biomimetics (2313-7673). Jan2025, Vol. 10 Issue 1, p53. 20p.

Predmety: *OPTIMIZATION algorithms, *AURORAS, *FEATURE selection, *GLOBAL optimization, *CLASSIFICATION algorithms, *DIFFERENTIAL evolution

An improved on/off method with a two-step surface smoother for topology optimization of electromagnetic devices.

Autori: Sun, Zhen Watanabe, Kota

Zdroj: COMPEL; 2023, Vol. 42 Issue 5, p1146-1160, 15p

Predmety: ELECTROMAGNETIC devices, TOPOLOGY, CURVED surfaces, METAHEURISTIC algorithms, QUADRILATERALS, FINITE element method, FILLER materials

Binary Restructuring Particle Swarm Optimization and Its Application.

Autori: Zhu, Jian Liu, Jianhua Chen, Yuxiang a ďalší

Zdroj: Biomimetics (2313-7673); Jun2023, Vol. 8 Issue 2, p266, 17p

Predmety: PARTICLE swarm optimization, FEATURE selection, RANDOM numbers, PERTURBATION theory, ACCURACY

S‐shaped and V‐shaped binary African vulture optimization algorithm for feature selection.

Autori: Balakrishnan, Kulandaivel Dhanalakshmi, Ramasamy Seetharaman, Gopalakrishnan

Zdroj: Expert Systems; Dec2022, Vol. 39 Issue 10, p1-25, 25p

Predmety: MATHEMATICAL optimization, METAHEURISTIC algorithms, VULTURES, FEATURE selection, TRANSFER functions, CLASSIFICATION algorithms

Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data.

Autori: Nadimi-Shahraki, Mohammad H. Fatahi, Ali Zamani, Hoda a ďalší

Zdroj: Mathematics (2227-7390); Aug2022, Vol. 10 Issue 15, p2770-2770, 30p

Predmety: FEATURE selection, METAHEURISTIC algorithms, TRANSFER functions, LYMPHANGIOGRAPHY, SWARM intelligence, PROSTATE tumors, SCALABILITY