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101
Prediction of Earthquake Death Toll Based on Principal Component Analysis, Improved Whale Optimization Algorithm, and Extreme Gradient Boosting
Published 2025-08-01“…Accurate prediction of earthquake fatalities is of great importance for pre-disaster prevention and mitigation planning, as well as post-disaster emergency response deployment. To address the challenges of small sample sizes, high dimensionality, and strong nonlinearity in earthquake fatality prediction, this paper proposes an integrated modeling approach (PCA-IWOA-XGBoost) combining Principal Component Analysis (PCA), the Improved Whale Optimization Algorithm (IWOA), and Extreme Gradient Boosting (XGBoost). …”
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102
Improved Quantum Artificial Bee Colony Algorithm-Optimized Artificial Intelligence Models for Suspended Sediment Load Predicting
Published 2025-01-01“…To evaluate the predictive capability, the models are compared with quantum bee colony algorithm-optimized AI models (QABC-SVR and QABC-ANN), genetic algorithm-optimized AI models (GA-SVR and GA-ANN) and traditional AI models (SVR and ANN). …”
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Rapid and Low-Cost Detection of Thyroid Dysfunction Using Raman Spectroscopy and an Improved Support Vector Machine
Published 2018-01-01“…Principal component analysis (PCA) was used for feature extraction and reduced the dimension of high-dimension spectral data; then, SVM was employed to establish an effective discriminant model. To improve the efficiency and accuracy of the SVM discriminant model, we proposed artificial fish coupled with uniform design (AFUD) algorithm to optimize the SVM parameters. …”
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Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms
Published 2025-06-01Get full text
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An Effective GTO Algorithm-Based Cost-Benefit Analysis of DISCOs by Optimal Allocation of DG and DSTATCOM in a Radial Distribution Network
Published 2025-01-01“…This paper maximizes the cost–benefit, and voltage stability of DISCOs is improved by optimally considering the Distributed Generation (DGs) and DSTATCOM. …”
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107
Cost-Based Optimal Allocation of Shunt Capacitors in Radial Distribution Networks Considering Load Types Using Crow Search Algorithm
Published 2025-01-01“…This study investigates the optimization of capacitor placement and sizing using the Crow Search Algorithm (CSA) to enhance voltage stability, minimize power losses, and reduce operational costs. …”
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108
An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm
Published 2025-01-01“…Finally, an improved ACO (IMACO) algorithm is designed by establishing the natural logarithm function to address the blind search problem in the ACO algorithm. …”
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Optimization of Construction Projects Time-Cost-Quality-Environment Trade-off Problem Using Adaptive Selection Slime Mold Algorithm
Published 2024-01-01“…This study utilizes a Hybrid algorithm called Adaptive Selection Slime Mold Algorithm (ASSMA), which combines the Tournament Selection (TS) and Slime Mould Algorithm (SMA) to address the four-factor optimization problem in projects. …”
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3D Deployment Optimization of Wireless Sensor Networks for Heterogeneous Functional Nodes
Published 2025-02-01“…To address this, an improved Secretary Bird Optimization Algorithm (ISBOA) is proposed, incorporating Gaussian Cuckoo Mutation and a smooth exploitation mechanism. …”
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Air Quality Prediction Using Neural Networks with Improved Particle Swarm Optimization
Published 2025-07-01“…Second, the inertia weights and learning factors of the standard PSO are improved to ensure the global search ability exhibited by the algorithm in the early stage and the ability to rapidly obtain the optimal solution in the later stage; we also introduce an adaptive variation algorithm in the particle search process to prevent the particles from being caught in local optima. …”
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Improving kernel ridge regression for medical data classification based on meta-heuristic algorithms
Published 2025-07-01“…The development of meta-heuristic algorithms has helped in solving difficult issues. In this paper, the main improvement is included in the pelican optimization algorithm by applying elite opposite-based learning (EOBL) to improve population diversity in the search space for selecting the best hyperparameters. …”
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An improved human evolutionary optimization algorithm for maximizing green hydrogen generation in intelligent energy management system (IEMS)
Published 2025-09-01“…These algorithms include Sinh Cosh Optimization (SCHO), Chimp Optimization (Chimp), Improved Sine Cosine Algorithm (ISCA), Improved Grey Wolf Optimization (IGWO), and Coati Optimization Algorithm (COA). …”
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A brief comparison of algorithms and methods for optimization of electric vehicles charging strategies
Published 2025-06-01Get full text
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Multi-Objective Optimization Scheduling of a Wind–Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm
Published 2025-01-01“…To achieve the optimal solution between construction costs and carbon emissions in the multi-target optimization scheduling, this paper proposes a multi-objective optimization scheduling design for wind–solar energy storage microgrids based on an improved oppositional gradient grey wolf optimization (OGGWO) algorithm. …”
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