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which optimization » weight optimization (Expand Search), whale optimization (Expand Search), policy optimization (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
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binary mapk » binary mask (Expand Search), binary image (Expand Search)
which optimization » weight optimization (Expand Search), whale optimization (Expand Search), policy optimization (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
final model » animal model (Expand Search)
binary mapk » binary mask (Expand Search), binary image (Expand Search)
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1
Flow chart of INFO algorithm.
Published 2025“…By establishing the INFO-KELM optimization model, the final optimized structure is obtained. …”
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2
Optimal scheduling model of microgrid based on improved dung beetle optimization algorithm
Published 2024“…<p>In view of the strong uncertainty and intermittency of distributed power sources in microgrids and the shortcomings of the traditional dung beetle optimizer (DBO) algorithm with slow convergence, poor robustness and ease of falling into a local optimum, an optimal scheduling model for microgrids based on the improved dung beetle optimization algorithm is proposed. …”
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3
Optimization results of different algorithms.
Published 2024“…Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …”
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4
The ANFIS algorithm details.
Published 2025“…The existence of uncontrollable factors affects the decision-making process, which is a problem for investors who are responsible for the final financial decisions on how to allocate their budgets to financial assets in their investment portfolios. …”
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5
Optimized process of the random forest algorithm.
Published 2023“…Finally, the constructed random forest-based gas explosion early warning model is compared with a classification model based on the support vector machine (SVM) algorithm. …”
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6
Firefly optimization algorithm flowchart.
Published 2025“…And finally, an improved PSO-IFA hybrid optimization algorithm (PSO-IFAH) was proposed in the paper. …”
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7
The flowchart of Algorithm 2.
Published 2024“…For the former, it is further divided into two sub-problems according to the stochastic nature of passenger no-show behavior, which is optimized iteratively. Finally, the effectiveness of the proposed model and algorithm is evaluated through numerical studies. …”
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8
Optimization flow chart of the AO algorithm.
Published 2024“…Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …”
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9
Particle swarm optimization algorithm flowchart.
Published 2025“…And finally, an improved PSO-IFA hybrid optimization algorithm (PSO-IFAH) was proposed in the paper. …”
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10
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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11
Bayesian Optimization Methods for Nonlinear Model Calibration
Published 2025“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”
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12
Bayesian Optimization Methods for Nonlinear Model Calibration
Published 2025“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”
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13
Bayesian Optimization Methods for Nonlinear Model Calibration
Published 2025“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”
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14
Bayesian Optimization Methods for Nonlinear Model Calibration
Published 2025“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”
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15
Flow chart of simplex search algorithm.
Published 2024“…Furthermore, The improved <i>ε</i>-constraint method is proposed to solve the model, which can directly and quickly find the compromise optimal solution of the multi-objective problem. …”
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16
Comparison of models.
Published 2025“…Finally, in order to verify the effectiveness of the EBWO algorithm, the EBWO algorithm was applied to three engineering problems and compared with other five swarm intelligent algorithms, and in order to verify the effectiveness of the EBWO-ResNet model, EBWO-ResNet was applied to maize disease identification,in order to improve the accuracy of corn identification and ensure corn yield,and the other seven models were compared based on three evaluation indexes. …”
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17
A HyChem Model of Polyoxymethylene Dimethyl Ether 5 Optimized with a Differential Evolution Algorithm
Published 2025“…This study develops a machine learning-optimized combustion model for the ether-based fuel PODE<sub>5</sub> based on the HyChem approach, which decouples fuel combustion steps into lumped pyrolysis and detailed oxidation. …”
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18
Optimization results of structural parameters.
Published 2025“…By establishing the INFO-KELM optimization model, the final optimized structure is obtained. …”
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19
INFO-KELM optimization results.
Published 2025“…By establishing the INFO-KELM optimization model, the final optimized structure is obtained. …”
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20
Hyperparameter optimization results.
Published 2024“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”