Suchergebnisse - Binary butterfly optimization algorithm

A Hybrid Feature Selection Method using an Improved Binary Butterfly Optimization Algorithm and Adaptive β -Hill Climbing von Tiwari, Anurag

“… The Butterfly Optimization Algorithm (BOA) is a recently proposed nature-inspired metaheuristic algorithm mimicking the food-foraging behavior of butterflies …”
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A hybrid feature selection method based on information theory and binary butterfly optimization algorithm von Sadeghian, Zohre, Akbari, Ebrahim, Nematzadeh, Hossein

“… S-shaped Binary Butterfly Optimization Algorithm (S-bBOA) is a nature-inspired algorithm for solving the feature selection problems …”
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Binary butterfly optimization approaches for feature selection von Arora, Sankalap, Anand, Priyanka

“… •Two binary variants of the butterfly optimization algorithm (BOA) are proposed.•Two transfer functions are used to map the continuous search space to discrete one …”
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A Novel Chaotic Binary Butterfly Optimization Algorithm based Feature Selection Model for Classification of Autism Spectrum Disorder von Ramakrishnan, Anandkumar, Ramalingam, Rajakumar, Ramalingam, Padmanaban, Ravi, Vinayakumar, Alahmadi, Tahani Jaser, Maidin, Siti Sarah

“… In this paper, a chaotic binary butterfly optimization algorithm based feature selection and data classification (CBBOAFS-DC …”
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Hybrid Binary Butterfly Optimization Algorithm and Simulated Annealing for Feature Selection Problem von Khan, Raees Ahmad, Faizan, Mohd, Alsolami, Fawaz

“… In this paper, we propose a hybrid wrapper feature selection technique based on binary butterfly optimization algorithm (bBOA …”
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Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms von Shaban, Warda M.

“… Liver disease in patients is on the rise due to environmental factors like toxic gas exposure, contaminated food, drug interactions, and excessive alcohol use …”
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A Binary Butterfly Optimization Algorithm for the Multidimensional Knapsack Problem von Shahbandegan, Amirmohammad, Naderi, Madjid

“… Butterfly optimization algorithm (BOA) is a recently developed meta-heuristic that has shown good convergence ability as well as avoiding local optima stagnation …”
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Tuberculosis Detection in Chest Radiography: A Combined Approach of Local Binary Pattern Features and Monarch Butterfly Optimization Algorithm von Fonseca, Afonso U., Rocha, Bruno M., Nogueira, Emilia A., Vieira, Gabriel S., Fernandes, Deborah S. A., Lima, Junio C., Ferreira, Julio C., Soares, Fabrizzio

“… Our method combines local binary patterns (LBP) feature extraction and a feature selection wrapper algorithm by Monarch Butterfly Optimization (MBO …”
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Multiswarm Binary Butterfly Optimization Algorithm for Solving the Multidimensional Knapsack Problem von Shahbandegan, Shakiba, Naderi, Madjid

“… In the past decades, many heuristic methods have been developed to solve the MKP. Butterfly Optimization Algorithm (BOA …”
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Automatic channel selection using multiobjective X-shaped binary butterfly algorithm for motor imagery classification von Tiwari, Anurag, Chaturvedi, Amrita

“… •A Multi-objective X-shaped Butterfly algorithm is proposed for channel selection …”
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Automatic lane marking prediction using convolutional neural network and S-Shaped Binary Butterfly Optimization von Alajlan, Abrar Mohammed, Almasri, Marwah Mohammad

“… To enhance the initial parameter setting of the CNN, an S-Shaped Binary Butterfly Optimization Algorithm (SBBOA …”
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A novel metaheuristic optimisation approach for text sentiment analysis von Hosseinalipour, Ali, Ghanbarzadeh, Reza

“… It is crucial to use high-performing algorithms for feature selection. This paper applies the Horse herd Optimisation Algorithm (HOA …”
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Optimal feature selection through reinforcement learning and fuzzy signature for improving classification accuracy von Mansouri, Najme, Zandvakili, Aboozar, Javidi, Mohammad Masoud

“… The use of meta-heuristic algorithms is another option that has some drawbacks. This paper converts the feature selection into a multi-armed bandit problem (MAB) by using the ε-Greedy algorithm. The ε …”
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DSSAE-BBOA: deep learning-based weather big data analysis and visualization von G, Madhukar Rao, Dharavath, Ramesh

“… Also, it integrates the feature selection algorithm based on Binary Butterfly Optimization …”
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OEbBOA: A Novel Improved Binary Butterfly Optimization Approaches with Various Strategies for Feature Selection von Zhang, Bo, Yang, Xinkai, Hu, Biao, Liu, Zhaogeng, Li, Zhanshan

“… Binary butterfly optimization approach (bBOA) is a recent high performing feature selection algorithm presented in 2018 which is based on the food foraging behavior of butterflies …”
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COVID-19 detection in lung CT slices using Brownian-butterfly-algorithm optimized lightweight deep features von Rajinikanth, Venkatesan, Biju, Roshima, Mittal, Nitin, Mittal, Vikas, Askar, S.S., Abouhawwash, Mohamed

“… Several deep-learning assisted disease assessment schemes (DAS) have been proposed to enhance accurate detection of COVID-19, a critical medical emergency, …”
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Solving 0–1 knapsack problem by a novel binary monarch butterfly optimization von Feng, Yanhong, Wang, Gai-Ge, Deb, Suash, Lu, Mei, Zhao, Xiang-Jun

“… This paper presents a novel binary monarch butterfly optimization (BMBO) method, intended for addressing the 0–1 knapsack problem (0–1 KP …”
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A Transfer Learning-Enabled Optimized Extreme Deep Learning Paradigm for Diagnosis of COVID-19 von Reda, Ahmed, Barakat, Sherif, Rezk, Amira

“… Many respiratory infections around the world have been caused by coronaviruses. COVID-19 is one of the most serious coronaviruses due to its rapid spread …”
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Feature selection using binary monarch butterfly optimization von Sun, Lin, Si, Shanshan, Zhao, Jing, Xu, Jiucheng, Lin, Yaojin, Lv, Zhiying

“… Swarm intelligence algorithms have superior performance in searching for the optimal feature subset, where Monarch Butterfly Optimization (MBO …”
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Diagnosis of cardiac arrhythmia using Swarm-intelligence based Metaheuristic Techniques: A comparative analysis von Sharma, Samriti, Singh, Gurvinder

“… Five different SI-based meta-heuristic techniques viz. binary Grey-Wolf Optimizer …”
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