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A Logarithmic Transfer Function for Binary Swarm Intelligence Algorithms: Enhanced Feature Selection with White Shark Optimizer
Published 2025-08-01“…With the increasing size of datasets in data mining applications, feature selection has become critical for enhancing classification accuracy and reducing computational complexity. In this study, a novel binary feature selection algorithm, called bWSO-log, is proposed based on the White Shark Optimizer (WSO). …”
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344
Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review
Published 2025-02-01“…Some of the most common computational methodologies, which are Genetic Algorithms, Particle Swarm Optimization, and Gradient Descent, are discussed in this paper along with the new quantum computing techniques such as Gate-Based quantum computing and Quantum Annealing (QA). …”
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Numerical Comparisons of Heuristic Stress Topology Optimization Methods
Published 2025-07-01Get full text
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347
A Modified Sine Cosine Algorithm Based on A Novel Locally Weighted Method for Global Optimization Problems
Published 2024-06-01Get full text
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348
Lattice-Based Certificateless Proxy Re-Signature for IoT: A Computation-and-Storage Optimized Post-Quantum Scheme
Published 2025-08-01“…Furthermore, the scheme significantly reduces computational overhead and optimizes signature storage complexity through structured compression techniques, facilitating deployment on resource-constrained devices like Internet of Things (IoT) terminals. …”
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Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation
Published 2025-06-01Get full text
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351
Research on temporary shipping network model and optimization strategy under partial shipping network disruption
Published 2025-12-01“…To solve this NP-hard problem, custom operators for meta-heuristic algorithms (SA, GA and PSO) are designed and enhanced through Bayesian hyperparameter optimization, ensuring algorithmic adaptability to real-time disruptions. …”
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352
A multistrategy improved hunger games search algorithm
Published 2025-08-01“…The proposed MHGS algorithm provides a novel and effective framework for solving complex optimization problems, demonstrating significant theoretical and practical value in the field of computational intelligence.…”
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Algorithm for Finding Feedback in a Problem with Constraints for One Class of Nonlinear Control Systems
Published 2021-10-01“…Gurman and allows not only to expand the scope of the SDRE approach to nonlinear control problems with control constraints in the form of closed inequalities, but also to propose a more efficient computational algorithm for finding the matrix of feedback gains in control problems on a finite interval. …”
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356
An efficient algorithmic framework to minimize the summand matrix in binary multiplication
Published 2025-10-01Get full text
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357
Precise estimation of solar photovoltaic parameters via brown bear optimization and Differential Evolution
Published 2025-08-01“…To overcome these challenges, this paper presents an enhanced optimization method: the Brown Bear Optimization Algorithm (BBOA) hybridized with Diagonal Linear Uniform Initialization (DLUI) and the Differential Evolution (DE) algorithm, termed BBOA-DLUI-DE. …”
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358
Reservoir Neural Network Computing for Time Series Forecasting in Aerospace: Potential Applications to Predictive Maintenance
Published 2024-07-01“…Coupling a reservoir neural network and a Grey Wolf optimization algorithm the system hyperparameters space is explored to find the configuration best suited to forecast the input sensor from the NASA CMAPSS dataset. …”
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359
The berth allocation problem in bulk terminals under uncertainty
Published 2025-06-01“…To solve the model, we use an exact decomposition algorithm (DA) in which the probability distribution information is iteratively included in the master problem through optimal dual cuts. …”
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A quantum-enhanced heuristic algorithm for optimizing aircraft landing problems in low-altitude intelligent transportation systems
Published 2025-07-01“…This study presents an Quantum-Enhanced Whale Optimization Algorithm (QEWOA) that incorporates quantum computing to tackle these challenges. …”
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