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181
An Improved Whale Optimization Algorithm via Angle Penalized Distance for Automatic Train Operation
Published 2025-06-01“…This study proposes a novel effective improved whale optimization algorithm via angle penalized distance (IWOA-APD) for automatic train operation (ATO) to effectively improve the ATO quality. …”
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182
Camera Calibration Optimization Algorithm Based on Nutcracker Optimization Algorithm
Published 2025-06-01“…This article proposes a camera calibration optimization algorithm based on the Starling-Inspired Strategy optimization algorithm, which improves calibration accuracy and stability by combining chaotic mapping and sine cosine optimization strategies. …”
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183
An Improved NSGA-II Algorithm for Multi-Objective Optimization of Irregular Polygon Patch Antennas
Published 2025-06-01“…This paper presents an improved NSGA-II algorithm for the multi-objective optimization of irregular polygon patch antennas (IPPAs), improving convergence efficiency and Pareto front quality. …”
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184
Enhanced Nutcracker Optimization Algorithm with Hyperbolic Sine–Cosine Improvement for UAV Path Planning
Published 2024-12-01“…Secondly, a nonlinear function is designed to improve the algorithm’s convergence speed. Finally, a sinh cosh optimizer that incorporates historical positions and dynamic factors is introduced to enhance the influence of the optimal position on the search process, thereby improving the accuracy of the nutcracker in retrieving stored food. …”
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185
Two-layer optimization model of distribution network line loss considering the uncertainty of new energy access
Published 2025-01-01Subjects: Get full text
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186
Improved Genetic Algorithm of Helical Gear Reducer and 3D Modeling
Published 2015-01-01“…Based on the penalty function method combined with the improved genetic algorithm,the multi-objective and multi-restriction reliability optimal design of the reducer with hardened tooth surface and modified helical cylinder gear is carried out.According to the properties of the constraint conditions,the different methods are used for effectively avoiding the local optimum problem.The accurate three-dimensional description of the involute gear is carried out by the establishment of the tooth profile curve coordinate equation of the involute gear.According to the interface technology of VB and SolidWorks,the three-dimensional parametric modeling of the involute gear is achieved based on the optimal design results.…”
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187
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188
Enhanced Dung Beetle Optimizer-Optimized KELM for Pile Bearing Capacity Prediction
Published 2025-07-01“…In response to the need for rapid and precise predictions of pile bearing capacity, this study introduces a kernel extreme learning machine (KELM) prediction model optimized through a multi-strategy improved beetle optimization algorithm (IDBO), referred to as the IDBO-KELM model. …”
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189
Modeling and Optimization of Cable Production Scheduling by Incorporating an Ant Colony Algorithm
Published 2025-04-01“…Applying an ant colony (ACO) algorithm to solve the production scheduling problem achieved the intelligent scheduling and optimization of production tasks. …”
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190
Optimization based machine learning algorithms for software reliability growth models
Published 2025-05-01“… Software reliability is a critical factor for system performance and safety, especially in defense industries, where operational failures can have severe consequences. To evaluate and improve software reliability, Software Reliability Growth Models (SRGMs) are widely used. …”
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191
Optimized Intelligent Localization Through Mathematical Modeling and Crow Search Algorithms
Published 2025-08-01“…However, existing localization methods still fall short of achieving the precision needed for certain high-demand applications. The proposed algorithm is designed to enhance localization accuracy by integrating mathematical modeling with the Crow Search Algorithm (CSA). …”
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192
Improvement teaching-learning-based optimization algorithm for solar cell parameter extraction in photovoltaic systems
Published 2025-05-01“…Goal. The work aims to improve the Teaching-Learning-Based Optimization (TLBO) algorithm to enhance the accuracy of parameter extraction in PV models. …”
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193
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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194
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195
Improved Directional Mutation Moth–Flame Optimization Algorithm via Gene Modification for Automatic Reverse Parking Trajectory Optimization
Published 2025-05-01“…To address this, we propose an improved directional mutation moth–flame optimization algorithm with gene modification (IDMMFO-GM). …”
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196
Distributed photovoltaic reactive power control strategy based on improved multiobjective particle swarm algorithm
Published 2024-11-01“…When the algorithm is compared with three other algorithms, such as nondominated sorting genetic algorithm‐II, the results show that it reduces the network loss by about 25% and significantly improves the voltage fluctuation rate.…”
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197
Wind power generation prediction using LSTM model optimized by sparrow search algorithm and firefly algorithm
Published 2025-03-01“…Then, the sparrow search algorithm and firefly algorithm are combined to optimize the hyperparameter configuration, improving the predictive performance and global search ability of the model. …”
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198
Optimization of Railway Transportation Planning by Combining TST Model and Genetic Algorithm
Published 2025-01-01“…The study proposes an integrated method that combines the Temporal-Spatial Tunnel (TST) model with the Genetic Algorithm (GA). The TST model describes railway transportation changes dynamically by integrating temporal and spatial dimensions. …”
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199
IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL
Published 2016-01-01“…which the singular element appears in the optimum process and the result may be a partial optimum solution are two disadvantages when using the ESO method to optimize 2- D model. In this paper,two algorithms are proposed for solving these disadvantages. …”
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200
An Improved Soft Island Model of the Fish School Search Algorithm with Exponential Step Decay Using Cluster-Based Population Initialization
Published 2025-01-01“…The development of new optimization algorithms or the improvement of existing ones enhances the efficiency of various fields of activity. …”
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