Výsledky vyhledávání - "binary metaheuristic algorithms"

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    A survey on binary metaheuristic algorithms and their engineering applications Autor Pan, Jeng-Shyang, Hu, Pei, Snášel, Václav, Chu, Shu-Chuan

    ISSN: 0269-2821, 1573-7462
    Vydáno: England Springer 01.07.2023
    Vydáno v The Artificial intelligence review (01.07.2023)
    “…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 Autor Pan, Jeng-Shyang, Hu, Pei, Snášel, Václav, Chu, Shu-Chuan

    ISSN: 0269-2821, 1573-7462
    Vydáno: Dordrecht Springer Netherlands 01.07.2023
    Vydáno v The Artificial intelligence review (01.07.2023)
    “…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 Autor Wang, Qiong, Chen, Gang, Khishe, Mohammad, Ibrahim, Banar Fareed, Rashidi, Shima

    ISSN: 2352-7102, 2352-7102
    Vydáno: Elsevier Ltd 01.06.2023
    Vydáno v Journal of Building Engineering (01.06.2023)
    “…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 Autor Mohamed Abdel-Basset, Reda Mohamed, Safaa Saber, Ibrahim M. Hezam, Karam M. Sallam, Ibrahim A. Hameed

    ISSN: 1319-1578
    Vydáno: Springer 01.07.2024
    “…This paper examines the performance of three binary metaheuristic algorithms when applied to two distinct knapsack problems (0…”
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    B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets Autor Nadimi-Shahraki, Mohammad H., Banaie-Dezfouli, Mahdis, Zamani, Hoda, Taghian, Shokooh, Mirjalili, Seyedali

    ISSN: 2073-431X, 2073-431X
    Vydáno: Basel MDPI AG 01.11.2021
    Vydáno v Computers (Basel) (01.11.2021)
    “…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 Autor Salmi, Abderezak, Teklal, Kahina, Hammouche, Kamal

    Vydáno: IEEE 03.11.2024
    “…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 Autor Fatahi, Ali, Nadimi-Shahraki, Mohammad H., Zamani, Hoda

    ISSN: 1672-6529, 2543-2141
    Vydáno: Singapore Springer Nature Singapore 01.01.2024
    Vydáno v Journal of bionics engineering (01.01.2024)
    “…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 Autor Nadimi-Shahraki, Mohammad H., Fatahi, Ali, Zamani, Hoda, Mirjalili, Seyedali

    ISSN: 2227-7390, 2227-7390
    Vydáno: Basel MDPI AG 01.08.2022
    Vydáno v Mathematics (Basel) (01.08.2022)
    “…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 Autor Nadimi-Shahraki, Mohammad H., Asghari Varzaneh, Zahra, Zamani, Hoda, Mirjalili, Seyedali

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.01.2023
    Vydáno v Applied sciences (01.01.2023)
    “…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 Autor Banati, Hema, Sharma, Richa, Yadav, Asha

    ISSN: 0176-4268, 1432-1343
    Vydáno: New York Springer US 01.07.2024
    Vydáno v Journal of classification (01.07.2024)
    “…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 Autor Taghian, Shokooh, Nadimi-Shahraki, Mohammad H., Zamani, Hoda

    Vydáno: IEEE 01.09.2018
    “… 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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    Optimum Location of Field Hospitals for COVID-19: A Nonlinear Binary Metaheuristic Algorithm Autor Ali Hassan, Said, Alnowibet, Khalid, Agrawal, Prachi, Wagdy Mohamed, Ali

    ISSN: 1546-2226, 1546-2218, 1546-2226
    Vydáno: Henderson Tech Science Press 01.01.2021
    Vydáno v Computers, materials & continua (01.01.2021)
    “…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 Autor Nassiri, Zahra, Omranpour, Hesam

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.01.2023
    Vydáno v Neural computing & applications (01.01.2023)
    “…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 Autor Ren, Kun, Wang, Xue, Shi, Xiaoyu, Qu, Jihong, Fang, Wei

    ISSN: 0022-1694, 1879-2707
    Vydáno: Elsevier B.V 01.06.2021
    Vydáno v Journal of hydrology (Amsterdam) (01.06.2021)
    “…•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 Autor Yang, Binlin, Chen, Lu, Yi, Bin, Li, Siming

    ISSN: 0022-1694
    Vydáno: Elsevier B.V 01.11.2024
    Vydáno v Journal of hydrology (Amsterdam) (01.11.2024)
    “… 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 Autor Nadimi-Shahraki, Mohammad H., Taghian, Shokooh, Mirjalili, Seyedali, Abualigah, Laith

    ISSN: 2227-7390, 2227-7390
    Vydáno: Basel MDPI AG 01.06.2022
    Vydáno v Mathematics (Basel) (01.06.2022)
    “…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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    Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm Autor M. El-Kenawy, El-Sayed, Khodadadi, Nima, Eid, Marwa M., Khodadadi, Ehsaneh, Khodadadi, Ehsan, Khafaga, Doaa Sami, Alhussan, Amel Ali, Ibrahim, Abdelhameed, Saber, Mohamed

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 19.03.2025
    Vydáno v Scientific reports (19.03.2025)
    “…With the advancement of medical technology, a large amount of complex data on cancers is produced for diagnosing and treating cancers. However, not all this…”
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    Enhanced Transmission Expansion Planning with a High Confidence Strategy Considering Fluctuations in Solar PV Generation and Electricity Demand Autor Somchit, Siripat, Kaewdornhan, Niphon, Chatthaworn, Rongrit

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 01.01.2025
    Vydáno v IEEE access (01.01.2025)
    “…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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    Enhanced Polar Lights Optimization with Cryptobiosis and Differential Evolution for Global Optimization and Feature Selection Autor Gao, Yang, Cheng, Liang

    ISSN: 2313-7673, 2313-7673
    Vydáno: Switzerland MDPI AG 01.01.2025
    Vydáno v Biomimetics (Basel, Switzerland) (01.01.2025)
    “…Optimization algorithms play a crucial role in solving complex problems across various fields, including global optimization and feature selection (FS). This…”
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