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Prediction of cardiovascular disease based on multiple feature selection and improved PSO-XGBoost model
Published 2025-04-01“…In order to predict it more accurately, this paper proposes a cardiovascular disease prediction model that combines multiple feature selection, improved particle swarm optimization algorithm, and extreme gradient boosting tree. …”
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62
Optimization on Electric Construction Machinery Considering Time‐of‐Use Electricity Price Based on the Improved Crested Porcupine Optimizer Algorithm
Published 2025-06-01“…This paper introduces an innovative algorithm, the improved crested porcupine optimizer (ICPO), which incorporates Latin hypercube sampling for population initialization. …”
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63
A Bi-Level Capacity Optimization Method for Hybrid Energy Storage Systems Combining the IBWO and MVMD Algorithms
Published 2025-04-01Subjects: Get full text
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64
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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65
Model of Effective Business Formation
Published 2022-10-01“…The authors propose a model for the formation of an effective business, using Pareto optimality and implemented on the basis of two developed Algorithms, which is illustrated by a numerical example.…”
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66
TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables)
Published 2025-05-01“…To address this problem, an anchor bolt (cable) stress prediction model based on an Improved Slime Mould Algorithm (ISMA) optimized Temporal Convolutional Network (TCN)-Long Short-Term Memory (LSTM)-Multi-Head Self-Attention (MHSA) architecture is proposed. …”
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67
Optimization Operation of the Park-Level Integrated Energy System Based on the Improved Coyote Optimization Algorithm
Published 2022-01-01“…Furthermore, a distributed algorithm is proposed to resolve the game model by combining an improved coyote optimization algorithm with quadratic programming. …”
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68
Home Load Optimization Scheduling Strategy Based on Improved Binary Particle Swarm Optimization Algorithm
Published 2023-05-01“…Firstly, the household loads are classified and a scheduling model is established with the objectives of lowest electricity cost, smallest carbon emission and largest comfort; secondly, based on the real-time photovoltaic output and peak-valley time-of-use electricity price, a scheduling strategy is proposed to meet the household load electricity demand through controlling the charging and discharging of energy storage; finally, the proposed model is simulated and solved using the scenario analysis method and hierarchical multi-strategy learning improved binary particle swarm optimization algorithm (HLSBPSO). …”
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69
Microservice combination optimisation based on improved gray wolf algorithm
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70
Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm
Published 2025-06-01“…In the present research, a Gated Recurrent Unit (GRU) optimized by the Improved Seagull Optimization (ISO) algorithm was utilized to address these issues, resulting in notable improvements in classification performance. …”
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71
Series Arc Fault Detection Based on Improved Artificial Hummingbird Algorithm Optimizer Optimized XGBoost
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72
Optimizing PEMFC parameter identification using improved pufferfish algorithm and CNN
Published 2025-02-01“…In this research, a novel approach has been proposed for enhancing the accuracy of proton exchange membrane fuel cell (PEMFC) models based on convolutional neural networks (CNNs) and an improved optimization method (called the improved pufferfish optimization algorithm). …”
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73
Optimal tuning of multi-PID controller using improved CMOCSO algorithm
Published 2024-11-01“…To mitigate synchronization errors within a multi-PID controller system and enhance its resistance to interference, an improved competitive and cooperative swarm optimizer for constrained multi-objective optimization (CMOCSO) algorithm is employed to optimize the parameters of the multi-PID controller. …”
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74
Multi-scenario Load Combinatorial Optimization Based on Improved Greedy Algorithm
Published 2020-05-01“…Finally, the improved greedy search algorithm is used to solve the load combinatorial optimization model under different scenarios. …”
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75
Optimization Design of Hub Reducer Based on Improved Sparrow Search Algorithm
Published 2022-10-01“…The simulation experiments with other four algorithms on 12 benchmark functions show that Issa improves the global optimal search ability and avoids the algorithm from falling into local optimization. …”
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76
NUMERICAL CONTROL MILLING PARAMETER OPTIMIZATION ON THE BASIS OF IMPROVED GENETIC ALGORITHM
Published 2022-01-01“…Then, the ENDE-NSGA-II method is adopted to complete the parameter optimization. By adoption of the NDX crossover algorithm, CA sorting method and DE strategy can increase the search interval, ensure the population diversification distribution, and improve the convergence rate. …”
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77
Spatial Layout Optimization in Urban Renewal Based on Improved NSGAII Algorithm
Published 2024-12-01“…A multi-objective optimization method based on the improved non-dominated sorting genetic algorithm II was proposed to address the problem of spatial layout optimization in urban renewal. …”
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78
Comparative Analysis of Convergence and Performance of Improved Northern Goshawk Optimization Algorithm
Published 2024-12-01“…In order to solve the problems of the northern goshawk optimization (NGO) algorithm, which quickly falls into local optimal, an improved northern goshawk optimization (INGO) algorithm is proposed in this paper. …”
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79
An Improved Coral Reef Optimization-Based Scheduling Algorithm for Cloud Computing
Published 2021-01-01“…In this paper, we establish a resource allocation framework and propose a novel task scheduling algorithm. An improved coral reef optimization (ICRO) is proposed to deal with this task scheduling problem. …”
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80
Pipeline corrosion rate prediction model using BP neural network based on improved sparrow search algorithm
Published 2024-07-01“…Methods This paper proposes a pipeline corrosion rate prediction model using an optimized BP neural network based on an improved Sparrow Search Algorithm to address the aforementioned disadvantages. …”
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