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Stacking modeling with genetic algorithm-based hyperparameter tuning for uniaxial compressive strength prediction
Published 2025-09-01“…Hyperparameter optimization was conducted using grid search and genetic algorithm. A notable contribution of this study lies in the application of both grid search and genetic algorithm (GA) for hyperparameter optimization, implemented across both individual base learners and the stacking ensemble model. …”
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An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models
Published 2025-03-01“…Although advances in computer technology and robust approaches have addressed the problem of label positioning, the lengthy running time of MGFLP has not been a major focus of recent studies. Based on a hybrid of the fixed-position and sliding models, a Message Passing Interface (MPI) parallel genetic algorithm is proposed in the present study for MGFLP to label mixed types of geographical features. …”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory
Published 2024-03-01“…The second criterion pertains to behavioral preferences, which involves integrating investor risk aversion, overconfidence, and herding behavior into the model. We employ a Genetic Algorithm (GA) to optimize portfolios under both criteria. …”
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Study of Optimal Base Station Deployment for UAM Operations in an Urban Environment Based on a Genetic Algorithm
Published 2025-01-01“…The proposed method uses binary chromosomes to determine the locations of BSs and the orientations of the antennas. A genetic algorithm is then used to determine the optimal deployment of the base stations. …”
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A Classification-Based Blood–Brain Barrier Model: A Comparative Approach
Published 2025-05-01“…Furthermore, the GA approach, utilizing a fitness function based on classifier performance, consistently improved prediction accuracy across all tested models, whereas SFS showed lower effectiveness. …”
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Research on IoT network performance prediction model of power grid warehouse based on nonlinear GA-BP neural network
Published 2025-04-01“…This study introduces a novel approach for forecasting network performance prediction in power grid warehouses, employing a nonlinear Genetic Algorithm (GA)-optimized backpropagation (BP) neural network model. …”
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Intelligent chlorination in water distribution networks: Integrating genetic algorithm and EPANET fusion
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Multi-objective portfolio optimization using real coded genetic algorithm based support vector machines
Published 2025-06-01“…Single optimal portfolios were created using the real coded genetic algorithm based on different sets of objectives: Maximizing short-term and long-term returns, maximizing liquidity, and minimizing risk. …”
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Research on Economic Operation of Cascade Small Hydropower Stations Within Plants Based on Refined Efficiency Models
Published 2025-02-01“…The model was optimized using a genetic algorithm, which was employed to optimize the output of the units. …”
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Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types
Published 2025-05-01“…The aim of this study is to develop and evaluate prognostic cancer survival models across ten common cancer types based on a large patient sample. …”
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A Judging Scheme for Large-Scale Innovative Class Competitions Based on Z-Score Pro Computational Model and BP Neural Network Model
Published 2025-05-01“…This study introduces a novel framework that integrates a genetic algorithm-based work cross-distribution model, advanced Z-score adjustment methods, and a BP neural network-enhanced score correction approach to tackle these issues. …”
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GA-VAE: Enhancing Local Feature Representation in VQ-VAE Through Genetic Algorithm-Based Token Optimization
Published 2025-01-01“…This paper introduces GA-VAE, a fine-tuning framework that enhances local feature representation in pre-trained Vector Quantized-VAE (VQ-VAE) models through genetic algorithm-based optimization. …”
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Modeling of 3 SAT discrete Hopfield neural network optimization using genetic algorithm optimized K-modes clustering
Published 2024-09-01“…Experimental tests on benchmark datasets showed that the proposed model outperformed traditional DHNN-3SAT models, DHNN-3SAT models combined with genetic algorithms, and DHNN-3SAT models combined with imperialist competitive algorithms across four evaluation metrics. …”
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