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based optimization » whale optimization (Expand Search)
final target » viral target (Expand Search), single target (Expand Search), visual target (Expand Search)
target based » target area (Expand Search)
pairs based » pairs used (Expand Search)
based optimization » whale optimization (Expand Search)
final target » viral target (Expand Search), single target (Expand Search), visual target (Expand Search)
target based » target area (Expand Search)
pairs based » pairs used (Expand Search)
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<i>De Novo</i> Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization
Published 2020“…In the present study, we conceived a novel pair-based multiobjective approach implemented in an adapted SMILES generative algorithm based on recurrent neural networks for the automated <i>de novo</i> design of new molecules whose overall features are optimized by finding the best trade-offs among relevant physicochemical properties (MW, logP, HBA, HBD) and additional similarity-based constraints biasing specific biological targets. …”
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The parameters setting of all algorithms.
Published 2023“…In this paper, we propose an improved version of Golden Jackal Optimization, which is dubbed Helper Mechanism Based Golden Jackal Optimization (HGJO), to apply multilevel threshold segmentation to aerial images. …”
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Hyperparameter optimization results.
Published 2025“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”
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The results of CEC2022 for all algorithm.
Published 2023“…In this paper, we propose an improved version of Golden Jackal Optimization, which is dubbed Helper Mechanism Based Golden Jackal Optimization (HGJO), to apply multilevel threshold segmentation to aerial images. …”
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The average time slots for all algorithms.
Published 2023“…In this paper, we propose an improved version of Golden Jackal Optimization, which is dubbed Helper Mechanism Based Golden Jackal Optimization (HGJO), to apply multilevel threshold segmentation to aerial images. …”
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The <i>FSIM</i> results for all algorithms.
Published 2023“…In this paper, we propose an improved version of Golden Jackal Optimization, which is dubbed Helper Mechanism Based Golden Jackal Optimization (HGJO), to apply multilevel threshold segmentation to aerial images. …”
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The <i>SSIM</i> results for all algorithms.
Published 2023“…In this paper, we propose an improved version of Golden Jackal Optimization, which is dubbed Helper Mechanism Based Golden Jackal Optimization (HGJO), to apply multilevel threshold segmentation to aerial images. …”
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The <i>PSNR</i> results for all algorithms.
Published 2023“…In this paper, we propose an improved version of Golden Jackal Optimization, which is dubbed Helper Mechanism Based Golden Jackal Optimization (HGJO), to apply multilevel threshold segmentation to aerial images. …”
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General structure of COA optimized MNS-YOLO.
Published 2025“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”
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Parameter values of the compared algorithms.
Published 2025“…Finally, we proposed an escape Coati Optimization Algorithm (eCOA) for global optimization to enhance classification performance. …”
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<b>The Application of the Optimized Genetic Algorithm in SerDes Circuit Design</b>
Published 2024“…The low-frequency gain, bandwidth, and slew rate target circuit optimization design is completed. Finally, the Clock and Data Recovery (CDR) circuit in SerDes is analyzed and designed. …”
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Image_1_Identification of a Novel Prognostic Signature for Gastric Cancer Based on Multiple Level Integration and Global Network Optimization.TIF
Published 2021“…The biological roles of key candidate signatures were also explored. Finally, we targeted the PHF10 gene and analyzed the expression patterns of PHF10 in independent datasets. …”
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MEA-BP neural network algorithm flowchart.
Published 2025“…A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. …”
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Performance comparison of mainstream algorithms.
Published 2025“…Secondly, the Cross-Scale Feature Fusion Module (CCFM) and the Mixed Local Channel Attention (MLCA) mechanism are incorporated into the neck network to improve detection performance for small fire targets and reduce resource consumption. Finally, the Inner-DIoU loss function is proposed to optimize bounding box regression. …”