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261
Adaptive Particle Swarm Optimization with Landscape Learning for Global Optimization and Feature Selection
Published 2025-01-01“…Particle swarm optimization (PSO), an important solving method in the field of swarm intelligence, is recognized as one of the most effective metaheuristics for addressing optimization problems. …”
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262
Impact of an improved random forest-based financial management model on the effectiveness of corporate sustainability decisions
Published 2024-12-01“…The results show that the accuracy and recall rate of the improved algorithm based on random forest proposed in this study in identifying corporate financial distress are 98.03 % and 100 % respectively. …”
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263
5G network slicing function migration mechanism based on particle swarm optimization algorithm
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264
Optimizing Cloud Computing Performance With an Enhanced Dynamic Load Balancing Algorithm for Superior Task Allocation
Published 2024-01-01“…Unlike benchmark algorithms that rely on static VM selection or post-hoc relocation of cloudlets, the EDLB algorithm dynamically identifies optimal cloudlet placement in real-time. …”
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265
Optimal Design of Short Fiber Bragg Grating Using Bat Algorithm With Adaptive Position Update
Published 2016-01-01“…We propose a new method to optimally design short triangular-spectrum fiber Bragg gratings (TS-FBGs), using the metaheuristic bat algorithm (BA). …”
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266
An African vulture optimization algorithm based energy efficient clustering scheme in wireless sensor networks
Published 2024-12-01“…To overcome the problem of energy depletion in WSN, this paper proposes a new Energy Efficient Clustering Scheme named African Vulture Optimization Algorithm based EECS (AVOACS) using AVOA. …”
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267
The Active and Reactive Power Generation Reduction Based on Optimal location of UPFC Based on Genetic Algorithm
Published 2025-07-01“… The Unified Power Flow Controller (UPFC) is a most complex power electronic device, which can simultaneously control a local bus voltage and optimize power flows in the electrical power transmission system. …”
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268
Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm
Published 2025-05-01“…Specifically, the proposed algorithm demonstrates a 9.2% improvement in average influence spread over the best existing method, while effectively addressing the trade-offs between influence, fairness, and complexity.…”
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269
Multiscale Modeling and Reconstruction of Joint Motion: Finite Element Optimization Based on Particle Swarm Algorithm
Published 2025-01-01“…Additionally, iterative reconstruction decreased the error in the knee region by approximately 30% compared to non-iterative methods. The optimization process facilitated by the particle swarm algorithm revealed that most particles achieved high fitness levels after the initial iteration, and a considerable proportion shifted to the foreground region during the second iteration once fitness values dropped below 0.2. …”
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270
Optimal Pre-disaster and Post-disaster Scheduling of Mobile Energy Storage Considering the Influence of Transportation Network
Published 2025-05-01“…Furthermore, this strategy fully accounts for traffic flow changes in the transportation network, optimizes the selection of MES scheduling paths, reduces the negative impact of traffic congestion, and further improves the scheduling efficiency of the MES. …”
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271
Optimizing Sentiment Analysis of Digital Wayang Viewer Comments using SMOTE and the Naïve Bayes Algorithm
Published 2025-05-01Get full text
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272
A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture
Published 2024-11-01“…To address these challenges, this study proposes an enhanced Q-learning algorithm designed to optimize UAV path planning by combining static and dynamic obstacle avoidance features. …”
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273
Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting
Published 2025-05-01“…To address these challenges, this study proposes a novel framework that combines Transformer models with Metaheuristic Algorithms (MHAs), including the Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), and Particle Swarm Optimization (PSO) to enhance agricultural price forecasting accuracy. …”
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274
Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning
Published 2024-01-01“…A comparative analysis is conducted among the genetic algorithm-based TPOT (Tree-based Pipeline Optimization Tool) settings, namely TPOT-Default, TPOT-Light, and TPOT-Sparse, to select the most effective hyperparameters. …”
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275
Improved artificial protozoa optimizer: A new method for solar photovoltaic parameter estimation
Published 2025-09-01“…We propose an improved Artificial Protozoa Optimizer (iAPO) algorithm for the parameter estimation of photovoltaic cells. …”
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276
Prediction of Interest Rate Using Artificial Neural Network and Novel Meta-Heuristic Algorithms
Published 2021-03-01“…The main goal of this article, as it is clear from the title, is the prediction of interest rate using ANN and improving the network using some novel heuristic algorithms such as Moth Flame Optimization algorithm (MFO), Chimp Optimization Algorithm (CHOA), Time-varying Correlation Particle Swarm Optimization algorithm (TVAC-PSO), etc. we used 17 variables such as oil price, gold coin price, house price, etc. as input variables. …”
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277
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278
Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-...
Published 2024-09-01“…The BPSO-SA algorithm enhances the global search capability of Particle Swarm Optimization (PSO) using the SA mechanism and effectively screens out the optimal feature subset; the GWO algorithm optimizes the hyperparameters of LightGBM by simulating the group hunting behavior of gray wolves to enhance the detection performance of the model. …”
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279
Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network
Published 2024-11-01“…Finally, the weights and biases of the forecasting model were optimized by the improved cuckoo search algorithm. …”
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280
Improved Nonprobabilistic Global Optimal Solution Method and Its Application in Bridge Reliability Assessment
Published 2019-01-01“…Utilizing the improved one-dimensional optimization algorithm conveniently solved the nonprobabilistic reliability index, however, only searching the part of probable failure points. …”
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