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Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots
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983
Autonomous Decision-Making for Air Gaming Based on Position Weight-Based Particle Swarm Optimization Algorithm
Published 2024-12-01“…As the complexity of air gaming scenarios continues to escalate, the demands for heightened decision-making efficiency and precision are becoming increasingly stringent. To further improve decision-making efficiency, a particle swarm optimization algorithm based on positional weights (PW-PSO) is proposed. …”
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984
A Dendritic Neural Network-Based Model for Residential Electricity Consumption Prediction
Published 2025-02-01“…In this study, a dendritic neural network-based model (DNM), combined with the AdaMax optimization algorithm, is used to predict residential electricity consumption. …”
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985
Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF
Published 2024-11-01“…Methods This paper presents a prediction model for the pitting depth of buried pipelines, guided by the corrosion mechanism and combining a Random Forest (RF) algorithm with a Multi-Objective Optimization process. …”
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986
An improved Red-billed blue magpie feature selection algorithm for medical data processing.
Published 2025-01-01“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”
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987
An Improved Whale Algorithm for Setting Standard Scheduled Block Time Based on the Airline Fairness
Published 2020-01-01“…We use whale optimization algorithm (WOA) and an improved version of the whale optimization algorithm (IWOA) to solve the SBT setting problem. …”
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988
STRUCTURAL DEIGN OF KEY COMPONENTS OF FEEDER BASED ON TOPOLOGY OPTIMIZATION AND MULTI-OBJECTIVE OPTIMIZATION
Published 2020-01-01“…At last,genetic algorithm is used to carry out the multiple object optimization to the response surface model,and the optimal solution set of Pareto is obtained. …”
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989
Efficiency multi-agent model assisted Moea/D algorithm for optimization design for building taking into account annual energy consumption and annual user discomfort hours
Published 2024-12-01“…Then it introduces a multi-agent model auxiliary mechanism to improve the decomposition based multi-objective evolutionary optimization algorithm, and then solves the multi-objective optimization model for building energy efficiency. …”
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990
Nonlinear Friction and Dynamical Identification for a Robot Manipulator with Improved Cuckoo Search Algorithm
Published 2018-01-01“…This paper concerns the problem of dynamical identification for an industrial robot manipulator and presents an identification procedure based on an improved cuckoo search algorithm. Firstly, a dynamical model of a 6-DOF industrial serial robot has been derived. …”
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991
Research on Indoor Object Detection and Scene Recognition Algorithm Based on Apriori Algorithm and Mobile-EFSSD Model
Published 2025-07-01“…The specific research contents are as follows: (1) To address complex indoor scenes and occlusion, this paper proposes an improved Mobile-EFSSD object detection algorithm. An optimized MobileNetV3 with ECA attention is used as the backbone. …”
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992
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993
Comparative Study of Algorithms for the Conversion From Surface Mesh Models to Volume Mesh Models
Published 2024-01-01“…In addition, the randomness of the HXT algorithm in mesh generation led to variations in results, which requires further optimization to improve the consistency and robustness of the algorithm. …”
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994
Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting
Published 2025-01-01“…This study presents a novel Fractional Whale Optimization Algorithm-Enhanced Support Vector Regression (FWOA-SVR) framework for solar energy forecasting, addressing the limitations of traditional SVR in modeling complex relationships within data. …”
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995
Study on the optimization of duration for repetitive projects considering spatial interference effects in operations
Published 2025-04-01“…Furthermore, we propose a model for solving optimal duration based on simulation results, using a genetic algorithm, and analyze the calculation results, speed, and complexity of the genetic algorithm with a heuristic approach. …”
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996
Laser marking method for nonferrous metal casting ingots based on improved RANSAC algorithm
Published 2025-01-01“…To this end, genetic algorithm (GA) is used to guide sampling of random sample consensus algorithm (RANSAC) based on probability, and the two are combined for simulation to optimize the shortcomings of RANSAC algorithm in random sampling. …”
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997
An improved NLOS error mitigation algorithm for 5G positioning in complex urban environments
Published 2025-05-01“…The TOA positioning model utilizes raw TOA measurements and a conventional four-station localization algorithm to estimate the location of user equipment. …”
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998
IGWO-MALSTM: An Improved Grey Wolf-Optimized Hybrid LSTM with Multi-Head Attention for Financial Time Series Forecasting
Published 2025-06-01“…The IGWO algorithm improves population diversity during initialization using the Mersenne Twister, thereby enhancing the convergence speed and search capability of the optimizer. …”
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Campus risk detection using the S-YOLOv10-SIC network and a self-calibrated illumination algorithm
Published 2025-07-01“…The algorithm optimizes the loss function by introducing an auxiliary bounding box, and accelerates model convergence. …”
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1000
Milling Machine Fault Diagnosis Using Acoustic Emission and Hybrid Deep Learning with Feature Optimization
Published 2024-11-01“…A convolutional neural network (CNN) based on the VGG16 architecture is utilized for spatial feature extraction, followed by a bidirectional long short-term memory (BiLSTM) network to capture the temporal dependencies of the scalograms. The genetic algorithm (GA) is used to optimize feature selection and ensure the selection of the most relevant features to further improve the model’s performance. …”
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