Search Results - Improved binary metaheuristic algorithm

Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information by Yang, Binlin, Chen, Lu, Yi, Bin, Li, Siming

“… However, binary metaheuristic algorithms (BMAs) in wrapper input variable selection (WIVS), such as golden jackal optimization…”
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An improved binary dandelion algorithm using sine cosine operator and restart strategy for feature selection by Dong, Junwei, Li, Xiaobo, Zhao, Yuxin, Ji, Jingchao, Li, Shaolang, Chen, Hui

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Faulty processor identification for a multiprocessor system under the Malek model using an improved binary bat algorithm by Gui, Weixia, Pan, Fulai, Zhu, Dandan, Li, Feng

“… This paper proposes an improved binary bat algorithm to identify faulty processors in a multiprocessor system…”
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Enhancing Non-Invasive Blood Glucose Prediction from Photoplethysmography Signals via Heart Rate Variability-Based Features Selection Using Metaheuristic Algorithms by Alghlayini, Saifeddin, Al-Betar, Mohammed Azmi, Atef, Mohamed

“…) features extracted from photoplethysmography (PPG) signals. A systematic feature selection methodology was developed employing advanced metaheuristic algorithms, specifically the Improved Dragonfly Algorithm (IDA…”
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Chaotic gaining sharing knowledge-based optimization algorithm: an improved metaheuristic algorithm for feature selection by Agrawal, Prachi, Ganesh, Talari, Mohamed, Ali Wagdy

“…The gaining sharing knowledge based optimization algorithm (GSK) is recently developed metaheuristic algorithm, which is based on how humans acquire and share knowledge during their life-time…”
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Li, Siqi, Li, Weidong, Zheng, Wanbo, Xia, Yunni, Guo, Kunyin, Peng, Qinglan, Li, Xu, Ren, Jiaxin

“…With the development of the industrial internet of things, an increasing number of intelligent terminal devices are being deployed in mining operations…”
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Copula entropy-based golden jackal optimization algorithm for high-dimensional feature selection problems by Askr, Heba, Abdel-Salam, Mahmoud, Hassanien, Aboul Ella

“… Therefore, this article proposes a powerful metaheuristic algorithm called Binary Enhanced Golden Jackal Optimization (BEGJO…”
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Feature selection based on dataset variance optimization using Hybrid Sine Cosine – Firehawk Algorithm (HSCFHA) by Moosavi, Syed Kumayl Raza, Saadat, Ahsan, Abaid, Zainab, Ni, Wei, Li, Kai, Guizani, Mohsen

“… Wrapper methods based on metaheuristics are one approach to feature selection, leveraging the predictive accuracy of a learning algorithm to form a condensed set of features…”
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A new binary chaos-based metaheuristic algorithm for software defect prediction by Arasteh, Bahman, Arasteh, Keyvan, Ghaffari, Ali, Ghanbarzadeh, Reza

“… Addressing this, selecting effective features for classification from the dataset becomes an NP-hard problem, often tackled using metaheuristic algorithms…”
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An integrated binary metaheuristic approach in dynamic unit commitment and economic emission dispatch for hybrid energy systems by Syama, S, Ramprabhakar, J, Anand, R, Guerrero, Josep M.

“…The current generation portfolio is obligated to incorporate zero-emissions energy sources, predominantly wind and solar, due to the depletion of fossil fuels…”
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An Improved Binary Quantum-based Avian Navigation Optimizer Algorithm to Select Effective Feature Subset from Medical Data: A COVID-19 Case Study by Fatahi, Ali, Nadimi-Shahraki, Mohammad H., Zamani, Hoda

“… However, existing binary versions of metaheuristic algorithms have issues with convergence and lack an effective binarization method, resulting in suboptimal solutions that hinder diagnosis and prediction accuracy…”
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Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms by Pereira, Luís A. M., Papa, João P., Coelho, André L. V., Lima, Clodoaldo A. M., Pereira, Danillo R., de Albuquerque, Victor Hugo C.

“… This work presents a systematic assessment of the performance of different variants of the binary magnetic optimization algorithm (BMOA…”
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A Competitive Parkinson-Based Binary Volleyball Premier League Metaheuristic Algorithm for Feature Selection by Naka, Edjola

“…A novel proposed Binary Volleyball Premier League algorithm (BVPL) has shown some promising results in a Parkinson’s Disease (PD…”
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Recent metaheuristic algorithms for medical object localization using MSER detector in computer-aided diagnosis system by Ait Mehdi, Mohamed, Belattar, Khadidja, Souami, Feryel

“… Various metaheuristic algorithms have been proposed for medical object localization to address…”
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BHBA-GRNet: Cancer detection through improved gene expression profiling using Binary Honey Badger Algorithm and Gene Residual-based Network by Nourian, Reza, Motamedi, Seyed Ahmad, Pourfard, Mohammadreza

“… To address these challenges and enhance accuracy, a novel Binary Honey Badger Algorithm (BHBA) integrated with the Gene Residual Network…”
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A Hybrid Feature Selection Method using an Improved Binary Butterfly Optimization Algorithm and Adaptive β -Hill Climbing by 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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Non-parametric optimization for lightweight and high heat conductive structures under convection using metaheuristic structure binary-distribution method by Al Ali, Musaddiq, Shimoda, Masatoshi, Benaissa, Brahim, Kobayashi, Masakazu

“…•Introducing the new method of metaheuristic structure binary-distribution (MSB) as a novel design method for high heat conductive structures…”
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A multi-strategy improved electric eel foraging optimization algorithm: continuous and binary variants for solving optimization problems by Mostafa, Reham R., Khedr, Ahmed M., AL Aghbari, Zaher, Afyouni, Imad, Kamel, Ibrahim, Ahmed, Naveed

“…Electric Eel Foraging Optimization (EEFO) algorithm is a metaheuristic inspired by the social predation behavior of electric eels…”
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A binary dandelion algorithm using seeding and chaos population strategies for feature selection by Zhao, Yuxin, Dong, Junwei, Li, Xiaobo, Chen, Hui, Li, Shaolang

“… In addition, to improve the performance of the algorithm, a binary dandelion algorithm using an improved seeding strategy and chaotic populations (SBDA…”
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Multi-objective Harris Hawk metaheuristic algorithms for the diagnosis of Parkinson’s disease by Dokeroglu, Tansel, Kucukyilmaz, Tayfun

“… In this study, we introduce a new binary Multi-objective Harris Hawk Optimization (MHHO) algorithm that combines an adaptive K-Nearest Neighbor (KNN…”
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