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Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system
Published 2025-01-01“…Simulation results show that the proposed algorithm has good convergence properties. Compared with the DFRC system assisted by a passive reflective intelligent surface (RIS), the ARIS-assisted coastal DFRC system can significantly improve the weighted sum rate of maritime users while maintaining the same detection power.…”
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2323
Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding
Published 2025-07-01“…This paper presents an enhanced hybrid particle swarm optimization (EHPSO) algorithm that incorporates a spatial position encoding (SPE) strategy to optimize coverage while dynamically adjusting the number of sensors deployed in WSNs. …”
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2324
Optimal Configuration of Hybrid Energy Storage Capacity for Wind Farms Considering Carbon Trading Revenue
Published 2022-12-01“…In view of the cost of initial investment and replacement of energy storage as well as the revenue from electricity sales and carbon trading, an optimal configuration model of hybrid energy storage capacity for wind farms was established and solved by an adaptive chaotic particle swarm optimization algorithm. …”
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2325
Information-Driven Model Predictive Control With Adaptive Partitioning for Energy Optimization in Automated Electric Vehicles
Published 2025-01-01“…These convex models are integrated into the MPC to compute optimal control inputs that minimize energy consumption while satisfying vehicle dynamics and constraints. …”
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2326
Swarm intelligence for energy-efficient heating, ventilation, and air conditioning (HVAC) systems: A case study in smart buildings
Published 2025-10-01“…This research utilizes swarm intelligence algorithms—Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and hybrid PSO-ACO-to optimize energy efficiency and thermal comfort in smart building HVAC systems. …”
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Replica exchange enhanced adaptively weighted stochastic gradient Langevin dynamics for Bayesian sampling and optimization
Published 2025-05-01“…By merging the 1/k-ensemble and replica exchange methods, this algorithm effectively escapes local traps in Monte Carlo simulation and non-convex optimization. …”
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2329
Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment
Published 2019-01-01“…For this complicated polymorphic uncertain optimization model, a unified compromising approach is proposed to hedge the uncertainty of this model such that some powerful optimization algorithms can be applied to make an optimal recycling plan. …”
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2330
Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization
Published 2025-01-01“…This study applies the Random Forest (RF) algorithm combined with hyperparameter optimization methods including Grid Search (GS), Random Search (RS), Bayesian Optimization (BO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Optuna Optimization (OO) to build a predictive model. …”
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2331
A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage
Published 2024-11-01“…The proposed approach incorporates a ‘fuzzy min-max basis algorithm’ to derive exact and approximate rule bases from the extracted fuzzy closed item sets, eliminating redundancy while preserving valuable insights. …”
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2332
Optimized dual NURBS curve interpolation for high-accuracy five-axis CNC path planning
Published 2025-07-01Get full text
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2333
Hybrid Metaheuristic Optimized Random Forest Models for Predicting Compressive Strength of Alkali Activated Concrete
Published 2025-12-01“…A random forest (RF) model was optimized using six metaheuristic algorithms: differential evolution (DEA), human felicity algorithm (HFA), nuclear reaction optimization (NRO), lightning search algorithm (LSA), Harris hawks optimization (HHO), and tunicate swarm algorithm (TSA). …”
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2334
Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization
Published 2025-07-01“…A multi-objective particle swarm optimization algorithm (PCDMOPSO) based on species clustering degree was designed to solve this model using the concept of Pareto dominance and the classical particle swarm optimization algorithm. …”
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2335
Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization
Published 2025-05-01“…This study presents an Improved Chaotic Grey Wolf Optimization (ICGWO) algorithm to enhance WSN coverage and connectivity while addressing challenges like high deployment costs, limited coverage, and insufficient connectivity. …”
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2336
Optimal Adaptive Robust Pitch Control with Load Mitigation for Uncertain Variable Speed Wind Turbines
Published 2021-06-01“…It is proved that the closed-loop signals are semi-globally uniformed and ultimately bounded. The optimal parameters of the proposed controller are derived by solving a proposed multi-objective optimization problem using non-dominated sorting genetic algorithm-II (NSGA-II) and multi-objective particle swarm optimization (MOPSO) algorithm. …”
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2337
STAR-RIS enabled covert integration of sensing communication and over-the-air computing with analysis and optimization
Published 2025-05-01“…To solve the inherently non-convex optimization problem, we propose a smoothed exact penalty algorithm with a twice continuously differentiable property. …”
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2338
Solving 0-1 Knapsack and Bin Packing Problem Using Logical Social Group Optimization
Published 2025-01-01“…In multiple knapsack problems, LSGO variants reach a profit of 1925 units, exceeding Particle Swarm Optimization (PSO) (1850 units). For bin packing problems, the binary splitting strategy optimally minimizes bin usage, achieving 5 bins on the P04 dataset, while maintaining solution quality. …”
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2339
Optimizing multimodal timetable synchronization of intercity railway and metro for the first service period during holidays
Published 2025-03-01“…To efficiently accommodate the high demand for intercity travel, it becomes imperative for metro agencies to optimize holiday timetables. This paper focuses on designing holiday timetables of the first service period for the metro network that connects to an IR station, aiming to enhance multimodal collaboration with IR timetables while ensuring seamless coordination among various metro lines at the network level. …”
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