Search Results - Binary butterfly optimization algorithm

Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms

Authors: Warda M. Shaban

Source: Multimedia Tools and Applications. 83:30867-30895

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

A Novel Chaotic Binary Butterfly Optimization Algorithm based Feature Selection Model for Classification of Autism Spectrum Disorder

Authors: Ramakrishnan Anandkumar Ramalingam Rajakumar Ramalingam Padmanaban et al.

Source: International Journal of Applied Mathematics and Computer Science, Vol 34, Iss 4, Pp 647-660 (2024)

Subject Terms: data classification, feature selection, metaheuristics, machine learning, autism spectrum disorder., Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2083-8492

Access URL: https://doaj.org/article/dd5a24160b9045f0bc5cf53cb3e19785

A Hybrid Feature Selection Method Using an Improved Binary Butterfly Optimization Algorithm and Adaptive β–Hill Climbing

Authors: Anurag Tiwari

Source: IEEE Access, Vol 11, Pp 93511-93537 (2023)

Subject Terms: Butterfly optimization algorithm, classification accuracy, convergence rate, feature selection, local optima, transfer function, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10121429/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/e0b27a0ee87c49a0806fcd3821e9683d

Hybrid Binary Butterfly Optimization Algorithm and Simulated Annealing for Feature Selection Problem

Authors: Raees Ahmad Khan Fawaz Alsolami Mohd Faizan

Source: International Journal of Applied Metaheuristic Computing. 13:1-18

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.igi-global.com/viewtitle.aspx?TitleId=284575

Multiswarm Binary Butterfly Optimization Algorithm for Solving the Multidimensional Knapsack Problem

Authors: M. Naderi Shakiba Shahbandegan

Source: 2021 29th Iranian Conference on Electrical Engineering (ICEE). :545-550

Access URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9544302
http://xplorestaging.ieee.org/ielx7/9544084/9543706/09544302.pdf?arnumber=9544302

A Binary Butterfly Optimization Algorithm for the Multidimensional Knapsack Problem

Authors: M. Naderi Amirmohammad Shahbandegan

Source: 2020 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS). :1-5

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

Access URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9349589
http://xplorestaging.ieee.org/ielx7/9349360/9349529/09349589.pdf?arnumber=9349589

Proposed an Accurate Optimization Algorithm Using Butterfly Optimization and Sine-Cosine Optimization Algorithms.

Authors: Kadhm, Mustafa Salam Mohammed, Mamoun Jassim Zaben, Sufyan Othman

Source: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 1, p13-24, 12p

Subject Terms: OPTIMIZATION algorithms, CLASSIFICATION algorithms, GOSHAWK, SWARM intelligence, FEATURE selection, METAHEURISTIC algorithms

A hybrid feature selection method based on information theory and binary butterfly optimization algorithm

Authors: Hossein Nematzadeh Ebrahim Akbari Zohre Sadeghian

Source: Engineering Applications of Artificial Intelligence. 97:104079

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

Binary butterfly optimization approaches for feature selection.

Authors: Arora, Sankalap Anand, Priyanka

Source: Expert Systems with Applications. Feb2019, Vol. 116, p147-160. 14p.

Subject Terms: *MATHEMATICAL optimization, *BINARY number system, *ALGORITHMS, *MACHINE learning, *FEATURE selection, *BIOLOGICALLY inspired computing

Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms.

Authors: Shaban, Warda M.

Source: Multimedia Tools & Applications; Mar2024, Vol. 83 Issue 10, p30867-30895, 29p

Automatic lane marking prediction using convolutional neural network and S-Shaped Binary Butterfly Optimization

Authors: Abrar M. Alajlan Marwah Almasri

Source: The Journal of Supercomputing. 78:3715-3745

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

Access URL: https://link.springer.com/article/10.1007%2Fs11227-021-03988-x

OEbBOA: A Novel Improved Binary Butterfly Optimization Approaches With Various Strategies for Feature Selection

Authors: Bo Zhang Xinkai Yang Biao Hu et al.

Source: IEEE Access, Vol 8, Pp 67799-67812 (2020)

Subject Terms: Feature selection, evolutionary computation, differential evolution, evolutionary population dynamics, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9057700/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/e88b9c6a12f94c8bbc400440374efdb5

Automatic lane marking prediction using convolutional neural network and S-Shaped Binary Butterfly Optimization.

Authors: Alajlan, Abrar Mohammed Almasri, Marwah Mohammad

Source: Journal of Supercomputing; Feb2022, Vol. 78 Issue 3, p3715-3745, 31p

Subject Terms: CONVOLUTIONAL neural networks, RECEIVER operating characteristic curves, COMPUTER vision, BUTTERFLIES

Butterfly Optimization Algorithm: Theory and Engineering Applications

Authors: Tarun Kumar Sharma Om Prakash Verma

Resource Type: eBook.

Subjects: Computational intelligence, Mathematical optimization, Artificial intelligence

Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General), MATHEMATICS / Optimization

A novel chaotic binary butterfly optimization algorithm based feature selection model for classification of autism spectrum disorder

Authors: Ramakrishnan, Anandkumar Ramalingam, Rajakumar Ramalingam, Padmanaban et al.

Subject Terms: data classification, feature selection, metaheuristics, machine learning, autism spectrum disorder, klasyfikacja danych, wybór funkcji, metaheurystyka, uczenie maszynowe, spektrum autyzmu

Access URL: http://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-bf80dec7-7f63-4d93-bd4d-1e55d30fa0d1

BBOA-SNDAE: A Deep Learning Model for HD Prediction in Medical IoT Systems.

Authors: Radhika B. Fathima, Noor Leelavathi V. V. et al.

Source: Journal of Intelligent Systems & Internet of Things; 2025, Vol. 14 Issue 1, p59-76, 18p

Subject Terms: ARTIFICIAL intelligence, OPTIMIZATION algorithms, HEALTH care industry, INTERNET of things, CLOUD computing

A novel metaheuristic optimisation approach for text sentiment analysis.

Authors: Hosseinalipour, Ali Ghanbarzadeh, Reza

Source: International Journal of Machine Learning & Cybernetics; Mar2023, Vol. 14 Issue 3, p889-909, 21p

Automatic channel selection using multiobjective X-shaped binary butterfly algorithm for motor imagery classification.

Authors: Tiwari, Anurag Chaturvedi, Amrita

Source: Expert Systems with Applications. Nov2022, Vol. 206, pN.PAG-N.PAG. 1p.

Subject Terms: *MOTOR imagery (Cognition), *HILBERT-Huang transform, *INDEPENDENT component analysis, *SUPPORT vector machines, *BRAIN-computer interfaces, *PARIETAL lobe, *FEATURE selection, *BINARY sequences

Combined Genome and Protein Statistical Features Improved the Prediction of Genes Encoding Antimicrobial Peptides: A Machine Learning Based Approach.

Authors: Rasani, M. Karami, K. Nassiri, M. et al.

Source: Iranian Journal of Applied Animal Science. Spring2025, Vol. 15 Issue 2, p191-209. 19p.

Subjects: Antimicrobial peptides, Machine learning, Drug development, Naive Bayes classification, Genetic markers, Statistics

Sonographic machine-assisted recognition and tracking of B-lines in dogs: the SMARTDOG study.

Authors: Jourdan, Aurélie Dania, Caroline Cambournac, Maxime

Source: Frontiers in Veterinary Science. 2025, p1-9. 9p.