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Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction
Published 2025-12-01“…The model's hyperparameters are optimized by the Improved Whale Optimization Algorithm (IWOA), which improves search efficacy by including chaotic mapping, a nonlinear shrinkage factor, and a Levy flight strategy. …”
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Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization
Published 2025-01-01“…Its objective is to identify the most optimal features in a dataset by eliminating redundant data while preserving the highest possible classification accuracy. …”
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224
Optimization of the Weight Processing Algorithm in Multichannel Doppler Filtering
Published 2024-05-01“…Separate optimization of weighting processing for each frequency channel can significantly improve the average efficiency characteristics of a multichannel Doppler filter and eliminate all the shortcomings of the classical and modified FFT algorithms when processing non-equidistant pulse sequences. …”
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225
Optimal Computation Offloading Decisions Based on System Utility and Cost Balance
Published 2025-01-01“…By calculating the full load rate of edge server clusters, we describe and evaluate the operational efficiency of the system, aiming to design a computation offloading decision scheme that not only reduces costs, but also enhances system utility. Based on the new evaluation model, an objective function is constructed to minimize the system’s cost-utility ratio, and an improved particle swarm optimization algorithm with enhanced search capabilities is proposed to solve it by designing a computation offloading strategy. …”
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226
Logarithmic mean optimization a metaheuristic algorithm for global and case specific energy optimization
Published 2025-05-01“…In a real-world application, LMO was employed to optimize a hybrid photovoltaic (PV) and wind energy system, achieving a 5000 kWh energy yield at a minimized cost of $20,000, outperforming all other algorithms in both efficiency and effectiveness. …”
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227
Illustration Design Model with Clustering Optimization Genetic Algorithm
Published 2021-01-01“…This paper proposes an illustration art design model based on operator and clustering optimization genetic algorithm. First, during the operation of the genetic algorithm, the values of the crossover probability and the mutation probability are dynamically adjusted according to the characteristics of the population to improve the search efficiency of the algorithm, then the k-medoids algorithm is introduced to optimize the clustering of the genetic algorithm, and a cost function is used to carry out and evaluate the quality of clustering to optimize the complexity of the original algorithm. …”
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228
Vortex-Induced Vibration Performance Prediction of Double-Deck Steel Truss Bridge Based on Improved Machine Learning Algorithm
Published 2025-04-01“…For the prediction of VIV parameters, the Random Forest model is the most effective. The RMSE values of the improved optimal algorithm are 0.017, 0.026, and 0.295, and the R<sup>2</sup> values are 0.9421, 0.8875, and 0.9462. …”
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229
An advanced CNN-attention model with IFTTA optimization for prediction air consumption of relay nozzles
Published 2025-03-01“…This paper proposes a Convolutional Neural Network (CNN)-Attention regression model to predict air consumption of the relay nozzle, enhancing accuracy and efficiency with an Improved Football Team Training Algorithm (IFTTA). …”
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230
Variance Reduction Optimization Algorithm Based on Random Sampling
Published 2025-03-01“…The main feature of the algorithm including an inner and outer double loop structure is designed: the outer loop structure uses mini-batch random samples to calculate the gradient, approximating the full gradient and reducing the gradient calculation cost; the inner loop structure also uses mini-batch random samples to calculate the gradient and replace the single sample random gradient, improving convergence stability of the algorithm. …”
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231
Road damage detection based on improved YOLO algorithm
Published 2025-08-01“…Experimental results show that compared to existing methods, this algorithm boosts the retrieval rate by 2.3%, increases the average value by 0.3, and improves the harmonic mean F1 by 0.7 relative to other models. …”
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232
Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops
Published 2025-06-01“…Furthermore, an improved crowding distance calculation enhances the algorithm’s performance in multi-objective optimization by improving solution distribution. …”
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233
Enhanced Fault Localization in Multi-Terminal HVDC Systems Using Improved Gaussian Process Regression
Published 2024-01-01Get full text
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234
Improving the performance of a two-phase ejector using genetic algorithm based on secondary fluid entrainment rate
Published 2022-12-01“…Using a multi-objective genetic algorithm, the optimal values for each parameter are obtained. …”
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Comparative study of whale optimization algorithm and flower pollination algorithm to solve workers assignment problem
Published 2022-01-01“…The WAP is to find the best assignment of workers to training courses such that the total training cost is minimized. Two metaheuristic optimizations named Whale Optimization Algorithm (WOA) and Flower Pollination Algorithm (FPA) are utilized to final the optimal solution that reduces the total cost. …”
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Optimal Placement of Phasor Measurement Unit in Electrical Grid Using Dingo Optimization Algorithm
Published 2025-05-01“…The study utilizes the Dingo Optimization Algorithm, a metaheuristic inspired by nature, to identify the best PMU placement. …”
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239
Application of Optimization Algorithms in Voter Service Module Allocation
Published 2025-06-01“…Six heuristics were analyzed in sequence: genetic algorithm, ant colony optimization, local search, tabu search, simulated annealing, and greedy algorithm. …”
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