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A hybrid genetic tabu search algorithm based on a multi-operation joint movement neighborhood structure for job shop scheduling problems
Published 2025-08-01“…The job shop scheduling problem (JSP) is a critical issue in the field of production and manufacturing, and it holds significant research value. A hybrid genetic tabu search algorithm (HGTSA) is introduced, which combines the global search ability of the genetic algorithm (GA) and the local search ability of the tabu search (TS), with the goal of minimizing makespan. …”
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Content Analysis of Judges’ Sentiments Toward Artificial Intelligence Risk Assessment Tools
Published 2024-03-01“…Results suggest that judges experience algorithm aversion, have significant concerns about bias being exacerbated by AI, and worry about being replaced by computers. …”
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Dataset on Scientometrics of Russian Scientists: eLibrary Case Study
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Path Planning for Coal Mining Masonry Robots Combined With Trajectory Optimization
Published 2025-01-01“…Simulation results show that the integrated algorithm significantly reduces path length, sampling points, and search time compared to traditional RRT, RRT*, and informed RRT*. …”
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Fast Backpropagation Neural Network for VQ-Image Compression
Published 2004-05-01“…This has driven the research area of image compression to develop algorithms that compress images to lower data rates with better quality. …”
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A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation
Published 2025-01-01“…In the experiments, BCIA competes fairly with the mainstream multi-objective evolutionary algorithms (MOEAs), multi-objective immune algorithms (MOIAs) and the recently proposed multi-UAV mission planning algorithms. …”
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Inverse design of high-strength medium-Mn steel using a machine learning-aided genetic algorithm approach
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Predicting risky driving behavior with classification algorithms: results from a large-scale field-trial and simulator experiment
Published 2024-11-01“…The outcomes of this study could provide essential guidance for practitioners and researchers on choosing models for driving behavior classification tasks.…”
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Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization
Published 2025-07-01“…ObjectiveThis study aimed to address these challenges using an advanced preprocessing algorithm to enhance the accuracy, efficiency, and standardization of eye region cropping for clinical workflows and AI data preprocessing. …”
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Assessing the risk of traffic accidents in lisbon using a gradient boosting algorithm with a hybrid classification/regression approach
Published 2025-07-01“…While previous studies have assessed accident risk, they typically employed coarse spatial grids that lack the street-level detail crucial for emergency operations. This research presents a novel two-stage gradient-boosting predictive model, using tree-based learning algorithms to analyze traffic accidents requiring firefighter intervention in Lisbon, Portugal. …”
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A Bi-Level Capacity Optimization Method for Hybrid Energy Storage Systems Combining the IBWO and MVMD Algorithms
Published 2025-04-01“…The inner layer builds on the optimized results from the outer layer, employing a Multivariable Variational Mode Decomposition (MVMD) algorithm to regulate the power output of the energy storage system. …”
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