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661
Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer
Published 2025-08-01“…Abstract In this study, we propose a new method for oral cancer detection using a modified Vanilla Convolutional Neural Network (CNN) architecture with incorporated batch normalization, dropout regularization, and a customized design structure for the convolutional block. An Improved Artificial Protozoa Optimizer (IAPO) metaheuristic algorithm is proposed to optimize the Vanilla CNN and the IAPO improves the original Artificial Protozoa Optimizer through a new search strategy and adaptive parameter tuning mechanism. …”
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662
Optimization method of building energy efficiency design based on decomposition multi objective and agent assisted model
Published 2024-01-01“…For the same building type, the average volume measurements of the multi-objective particle swarm optimization algorithm assisted by the decomposed surrogate model are 21153 and 40230, respectively. …”
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663
Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment
Published 2023-12-01“…A surrogate model-based algorithm is used to solve the bi-level programming problem.…”
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664
Low-carbon economic optimization for flexible DC distribution networks based on the hiking optimization algorithm
Published 2025-03-01“…The proposed model is solved using a novel Hiking Optimization Algorithm (HOA), and comparative analysis across different scenarios is conducted to investigate the impact of the carbon trading strategy on low-carbon operation, alongside an evaluation of the system’s economic and environmental performance under reasonable scheduling of both the carbon trading strategy and flexible loads. …”
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665
Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN
Published 2025-05-01“…Aiming at the problem that the current residual effective life prediction (RUL) technique for proton exchange membrane fuel cells (PEMFCs) has poor prediction effect in the medium and long term, a residual life prediction method based on the Improved Gray Wolf Optimization algorithm (IGWO) and Echo State Network (ESN) is proposed, in which the voltage of the electric stack is firstly selected as a health indicator, and the PEMFC dataset is processed by using convolutional smoothing filtering method to carry out data Smoothing and normalization are used to effectively reduce the interference of outliers on the subsequent model training. …”
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666
A fuzzy-optimized hybrid ensemble model for yield prediction in maize-soybean intercropping system
Published 2025-05-01“…This study proposes a Fuzzy-Optimized Hybrid Ensemble Model (FOHEM), integrating stacked ensemble machine learning algorithms with a fuzzy inference system (FIS) to improve yield prediction. …”
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667
Three Strategies Enhance the Bionic Coati Optimization Algorithm for Global Optimization and Feature Selection Problems
Published 2025-06-01“…To tackle this, this study proposes the bionic ABCCOA algorithm, an enhanced version of the bionic Coati Optimization Algorithm (COA), to improve redundant feature elimination in datasets. …”
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668
Improving Genetic Algorithm with Fine-Tuned Crossover and Scaled Architecture
Published 2016-01-01“…Our implementation tests show that leveraging these new concepts of mtDNA and Continental Model results in relative improvement of the optimization quality of GA.…”
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669
Numerical Assessment of Automotive Mufflers Using FEM, Neural Networks, and a Genetic Algorithm
Published 2018-07-01“…With this, the muffler’s optimization can proceed by linking the objective function to an optimizer, a Genetic Algorithm (GA). …”
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670
An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis
Published 2025-04-01“…The AO algorithm is further enhanced by incorporating chaos mapping, implementing a refined balanced search strategy, and fine-tuning parameter $$G_2$$ , which collectively improve its ability to escape local optima and conduct global searches, thus strengthening the robustness of the model during parameter optimization. …”
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671
Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III
Published 2025-01-01“…Finally, based on the obtained mathematical model, the 3rd Non-dominated Sorting Genetic Algorithm (NGSA-III) is used to adjust and optimize the control parameters. …”
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672
A contract-based cooperative spectrum sharing model in cognitive radio network
Published 2016-05-01Get full text
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673
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674
Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm
Published 2024-12-01“…In the second phase, the forecasted RES power and LD are used for optimal distributed generator (DG) scheduling using the improved grey wolf optimization (IGWO) algorithm. …”
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675
Optimization of Wheel Reprofiling Based on the Improved NSGA-II
Published 2020-01-01“…Our study reveals the relationship between the diameter, flange thickness, and their individual attrition rates and proposes a wear model, multiobjective model, and improved NSGA-II. …”
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676
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Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating
Published 2025-06-01“…Finally, analyses conducted using two distinct datasets indicated that our enhanced KUR-CF model achieved improvements in Precision values by 60% and Recall values by 35%, relative to other conventional collaborative filtering algorithms. …”
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679
Efficient Short-Term Wind Power Prediction Using a Novel Hybrid Machine Learning Model: LOFVT-OVMD-INGO-LSSVR
Published 2025-04-01“…The improved NGO algorithm was used to optimize the least squares support vector regression (LSSVR) prediction model to improve the computational speed and prediction results. …”
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680
Optimization of Teaching Management System Based on Association Rules Algorithm
Published 2021-01-01“…Second, use the MapReduce calculation model to partition the transaction database, then use the improved Apriori optimization algorithm for mining, and finally merge the mining results to obtain frequent itemsets. …”
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