DE algorithm flow. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

Mean values of different benchmark functions. حسب Jalal- ud-Din (21474307)

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Detail of benchmark functions comparison. حسب Jalal- ud-Din (21474307)

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Average execution time (in seconds) of different benchmark functions. حسب Jalal- ud-Din (21474307)

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Stander deviation values of different benchmark functions. حسب Jalal- ud-Din (21474307)

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Comparison of different crossover operators. حسب Jalal- ud-Din (21474307)

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Pseudo-code for encrypting high-dimensional medical data attributes. حسب Yonggang Huang (223155)

Algorithm parameter settings employed in the experiments on simulated data. حسب Liyan Sun (760586)

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Test results of different algorithms. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. حسب Lulu Pan (8977979)

Table 1_Epilepsy-associated CHD2 missense variants and optimization strategies for genetic diagnosis: a comparative analysis of algorithms.docx حسب Yu-Jie Gu (20963948)

Image 1_Epilepsy-associated CHD2 missense variants and optimization strategies for genetic diagnosis: a comparative analysis of algorithms.tif حسب Yu-Jie Gu (20963948)

Feature intersection and sequence patterns for <i>S</i>. <i>cerevisiae</i> S site of five fungal species. حسب Chao Wang (146527)

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Performance comparison of feature selection strategies for <i>S</i>. <i>cerevisiae</i> S phosphorylation site. حسب Chao Wang (146527)

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Comparison results of four feature selection strategies for <i>S</i>. <i>cerevisiae</i> S phosphorylation site. حسب Chao Wang (146527)

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Accuracy values of the model constructed with embedded features with different k-mer length and window size. حسب Chao Wang (146527)

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The statistics of number of proteins and phosphorylation S/T/Y sites for different organisms. حسب Chao Wang (146527)

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MFPSP workflow. حسب Chao Wang (146527)

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The prediction performance for the fungi phosphorylation S/T/Y site in seven organisms. حسب Chao Wang (146527)

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Feature importance, contribution and dependency analysis. حسب Chao Wang (146527)

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