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A revamped black winged kite algorithm with advanced strategies for engineering optimization
Published 2025-05-01“…Initially, the technique uses a logistic map for population initialization, swapping random generation to enhance global search effectiveness and fast convergence. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm
Published 2025-01-01“…MOMDBA addressed these limitations through three key improvements: 1) Individual Historical Best Position Tracking: This feature allowed the algorithm to retain and utilize the best individual solutions encountered during the search process, improving its ability to explore the solution space effectively. 2) Hybrid Global-Local Search Strategy: By combining global exploration with local exploitation, MOMDBA enhanced its ability to converge towards optimal solutions while avoiding local optima. 3) Elimination Mechanism: To maintain population diversity and prevent stagnation, low-performing individuals were periodically replaced with new solutions. …”
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Robust parameter inversion of coal mining subsidence based on the combination of RANSAC and DE algorithms
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Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting
Published 2025-07-01“…Hyperparameter tuning via differential evolution (DE), genetic algorithm (GA), random search (RS), and grid search (GS) with the XGBoost model was conducted to achieve more accurate results. …”
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Set-Based Differential Evolution Algorithm Based on Guided Local Exploration for Automated Process Discovery
Published 2020-01-01“…There are three major innovations in this work. First of all, a hybrid evolutionary strategy is proposed, in which a differential evolution algorithm is employed to search the solution space and rapidly approximate the optimal solution firstly, and then a specific local exploration method joins to help the algorithm skip out the local optimum. …”
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Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task.
Published 2025-01-01“…Secondly, the WOA's position update formula was modified by incorporating inertia weight ω and enhancing convergence factor α, thus improving its capability for local search. Furthermore, inspired by the grey wolf optimization algorithm, use 3 excellent particle surround strategies instead of the original random selecting particles. …”
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Applications of Multi-Robotic Arms to Assist Agricultural Production: A Review
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A novel method based on improved SFLA for IP information extraction from TEM signals
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Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis
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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning
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Optimization of Ship Permanent Magnet Synchronous Motor ADRC Based on Improved QPSO
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Efficient black-box attack with surrogate models and multiple universal adversarial perturbations
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