بدائل البحث:
design optimization » bayesian optimization (توسيع البحث)
edna sampling » each sampling (توسيع البحث), data sampling (توسيع البحث)
binary model » final model (توسيع البحث), injury model (توسيع البحث), tiny model (توسيع البحث)
model global » lower global (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
edna sampling » each sampling (توسيع البحث), data sampling (توسيع البحث)
binary model » final model (توسيع البحث), injury model (توسيع البحث), tiny model (توسيع البحث)
model global » lower global (توسيع البحث)
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DE algorithm flow.
منشور في 2025"…<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. …"
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Test results of different algorithms.
منشور في 2025"…<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. …"
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Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms.
منشور في 2025الموضوعات: -
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Code and data for Lambert and Ellner, "SDM meets eDNA: optimal sampling of environmental DNA to estimate species-environment relationships in stream networks", Ecography (2025)
منشور في 2025"…The code includes: (1) an iterative generalized least squares solution method for estimating model parameters, (2) a genetic algorithm for finding D-optimal sampling designs (i.e., the positioning of samples on a stream network that most accurately estimates species-environment relationships), and (3) generalized additive models for estimating the dependence of estimation accuracy on a stream network's topological and hydrologic properties.…"
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Algorithm for generating hyperparameter.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm.
منشور في 2025الموضوعات: -
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Performance of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm.
منشور في 2025الموضوعات: -
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Results of machine learning algorithm.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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