Search Results - "Binary metaheuristic algorithm"

Optimum Location of Field Hospitals for COVID-19: A Nonlinear Binary Metaheuristic Algorithm by Ali Hassan, Said, Alnowibet, Khalid, Agrawal, Prachi, Wagdy Mohamed, Ali

“…Determining the optimum location of facilities is critical in many fields, particularly in healthcare. This study proposes the application of a suitable…”
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Learning the transfer function in binary metaheuristic algorithm for feature selection in classification problems by Nassiri, Zahra, Omranpour, Hesam

“…One of the most challenging issues in pattern recognition is the data attribution selection process. Feature selection plays a key role in solving problems…”
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Examination and comparison of binary metaheuristic wrapper-based input variable selection for local and global climate information-driven one-step monthly streamflow forecasting by Ren, Kun, Wang, Xue, Shi, Xiaoyu, Qu, Jihong, Fang, Wei

“…•Binary metaheuristic-based shallow machine learning wrappers were examined.•MIC was employed to investigate the correlations.•Results underline selecting a…”
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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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Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study by Nadimi-Shahraki, Mohammad H., Taghian, Shokooh, Mirjalili, Seyedali, Abualigah, Laith

“…Medical technological advancements have led to the creation of various large datasets with numerous attributes. The presence of redundant and irrelevant…”
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Enhanced Transmission Expansion Planning with a High Confidence Strategy Considering Fluctuations in Solar PV Generation and Electricity Demand by Somchit, Siripat, Kaewdornhan, Niphon, Chatthaworn, Rongrit

“…Transmission Expansion Planning (TEP) is a popular approach to support the electricity demand increase and accommodate the solar photovoltaic systems increase…”
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A survey on binary metaheuristic algorithms and their engineering applications by Pan, Jeng-Shyang, Hu, Pei, Snášel, Václav, Chu, Shu-Chuan

“…This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms…”
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A survey on binary metaheuristic algorithms and their engineering applications: A survey on binary metaheuristic algorithms by Pan, Jeng-Shyang, Hu, Pei, Snášel, Václav, Chu, Shu-Chuan

“…This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms…”
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Multi-objective optimization of IoT-based green building energy system using binary metaheuristic algorithms by Wang, Qiong, Chen, Gang, Khishe, Mohammad, Ibrahim, Banar Fareed, Rashidi, Shima

“…Green building energy optimization systems (GBEOS) are of great interest to academics and industry professionals. One of the main challenges of GBEOS is…”
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Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application by Mohamed Abdel-Basset, Reda Mohamed, Safaa Saber, Ibrahim M. Hezam, Karam M. Sallam, Ibrahim A. Hameed

“…This paper examines the performance of three binary metaheuristic algorithms when applied to two distinct knapsack problems (0…”
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BE-GWO: Binary extremum-based grey wolf optimizer for discrete optimization problems by Banaie-Dezfouli, Mahdis, Nadimi-Shahraki, Mohammad H., Beheshti, Zahra

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B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets by Nadimi-Shahraki, Mohammad H., Banaie-Dezfouli, Mahdis, Zamani, Hoda, Taghian, Shokooh, Mirjalili, Seyedali

“…Advancements in medical technology have created numerous large datasets including many features. Usually, all captured features are not necessary, and there…”
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Wrapper Feature Selection: Comparative Study of Binary Metaheuristic Algorithms by Salmi, Abderezak, Teklal, Kahina, Hammouche, Kamal

“…Feature selection is one of the major challenges in machine learning problems. It reduces the number of features and improves performance by removing the…”
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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

“…Feature Subset Selection (FSS) is an NP-hard problem to remove redundant and irrelevant features particularly from medical data, and it can be effectively…”
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Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data by Nadimi-Shahraki, Mohammad H., Fatahi, Ali, Zamani, Hoda, Mirjalili, Seyedali

“…Many metaheuristic approaches have been developed to select effective features from different medical datasets in a feasible time. However, most of them cannot…”
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Binary Starling Murmuration Optimizer Algorithm to Select Effective Features from Medical Data by Nadimi-Shahraki, Mohammad H., Asghari Varzaneh, Zahra, Zamani, Hoda, Mirjalili, Seyedali

“…Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information to increase the performance of machine…”
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Binary Peacock Algorithm: A Novel Metaheuristic Approach for Feature Selection by Banati, Hema, Sharma, Richa, Yadav, Asha

“…Binary metaheuristic algorithms prove to be invaluable for solving binary optimization problems…”
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Comparative Analysis of Transfer Function-based Binary Metaheuristic Algorithms for Feature Selection by Taghian, Shokooh, Nadimi-Shahraki, Mohammad H., Zamani, Hoda

“… To address this issue, many binary metaheuristic algorithms are proposed to approximate the optimal solution by removing irrelevant features within an acceptable computational time…”
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Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification by Dhal, Pradip, Azad, Chandrashekhar

“…) methods by various researchers nowadays. This work proposes a hybrid binary Metaheuristic Algorithm (MA…”
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An Effective Hybrid Feature Selection Method Based on an Improved Artificial GTO Algorithm for Medical Datasets by Saabia, Abd Al-Baset Rashed, Frikha, Mondher

“… The aim of the system is to provide a hybrid binary metaheuristic algorithm that combines gorilla troop optimisation and genetic algorithm to handle the feature selection issue effectively…”
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