Search Results - "binary metaheuristic algorithms"

Wrapper Feature Selection: Comparative Study of Binary Metaheuristic Algorithms

Authors: Abderezak Salmi Kahina Teklal Kamal Hammouche

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

A survey on binary metaheuristic algorithms and their engineering applications

Authors: Jeng-Shyang Pan Pei Hu Václav Snášel et al.

Source: Artif Intell Rev

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

Access URL: https://pubmed.ncbi.nlm.nih.gov/36466763

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

Authors: Mohamed Abdel-Basset Reda Mohamed Safaa Saber et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/0aee5287a5ff4e39a45d4c302a2ea400

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

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

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: 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

Authors: Qiong Wang Gang Chen Mohammad Khishe et al.

Source: Journal of Building Engineering. 68:106031

Subject Terms: 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

Authors: Abdel-Basset, Mohamed Mohamed, Reda Saber, Safaa et al.

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

Feature selection convergence time comparison of various binary metaheuristic algorithms.

Authors: Amal H. Alharbi Faris H. Rizk Khaled Sh. Gaber et al.

Subject Terms: 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

Availability: 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.

Authors: Pan, Jeng-Shyang Hu, Pei Snášel, Václav et al.

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

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

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

Authors: Banati, Hema Sharma, Richa Yadav, Asha

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

Subject Terms: 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

Authors: Mohammad H. Nadimi-Shahraki Ali Fatahi Hoda Zamani et al.

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

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

File Description: application/pdf

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

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

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

Authors: Mohammad H. Nadimi-Shahraki Zahra Asghari Varzaneh Hoda Zamani et al.

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

Subject Terms: 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

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

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

Authors: Nadimi-Shahraki, Mohammad H Banaie-Dezfouli, Mahdis Zamani, Hoda et al.

Subject Terms: 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

Availability: 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.

Authors: M. El-Kenawy, El-Sayed Khodadadi, Nima Eid, Marwa M. et al.

Source: 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.

Authors: Bardamova, M. Svetlakov, M. Sarin, K. et al.

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

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

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

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

Subject Terms: 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.

Authors: Gao, Yang Cheng, Liang

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

Subject Terms: *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.

Authors: Sun, Zhen Watanabe, Kota

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

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

Binary Restructuring Particle Swarm Optimization and Its Application.

Authors: Zhu, Jian Liu, Jianhua Chen, Yuxiang et al.

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

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

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

Authors: Balakrishnan, Kulandaivel Dhanalakshmi, Ramasamy Seetharaman, Gopalakrishnan

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

Subject Terms: 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.

Authors: Nadimi-Shahraki, Mohammad H. Fatahi, Ali Zamani, Hoda et al.

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

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