بدائل البحث:
fitness optimization » stress optimization (توسيع البحث), process optimization (توسيع البحث), linear optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data fitness » data files (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
fitness optimization » stress optimization (توسيع البحث), process optimization (توسيع البحث), linear optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data fitness » data files (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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Parameter settings of the comparison algorithms.
منشور في 2024"…In this paper, we present an improved mountain gazelle optimizer (IMGO) based on the newly proposed mountain gazelle optimizer (MGO) and design a binary version of IMGO (BIMGO) to solve the feature selection problem for medical data. …"
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
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IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
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IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"