Search Results - "Binary metaheuristic algorithm"

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

“…•Improved golden jackal optimization (IGJO) considers complementary of local and global information.•LSTM-IGJO have the greatest enhancement in runoff…”
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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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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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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. This paper proposes a binary variant of the peacock algorithm…”
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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

“…In many real-world problems such as gene selection which is a high dimensional problem, the large number of features is the main challenge. Exhaustive search…”
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