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2401
Utilization of a bioinspired algorithm for optimum reservoir operation in an altering climate a case study of China
Published 2025-07-01“…Modified Seagull Optimization Algorithm (MSOA) improves reservoir Rule Curves for changing hydrology and reduced operational risks. …”
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2402
Optimized deep neural network architectures for energy consumption and PV production forecasting
Published 2025-05-01“…This paper introduces a novel hybrid optimization approach that integrates Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) to enhance the DNN architecture for more accurate energy forecasting. …”
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2403
Modeling peak ground acceleration for earthquake hazard safety evaluation
Published 2024-12-01“…The ANN architecture comprises 4 nodes in the input layer, two hidden layers each containing 25 nodes, and a single-node output layer, resulting in 750 unknown weight and bias values that the model must optimize. Following the model assessment, a genetic algorithm (GA) was integrated with the ANN model to enhance its predictive capabilities. …”
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2404
A Novel Overload Control Algorithm for Distributed Control Systems to Enhance Reliability in Industrial Automation
Published 2025-05-01“…The proposed method is integrated with a modular multi-functional processor (MFP) architecture, designed to enhance system reliability, optimize resource utilization, and improve fault resilience under dynamic operational conditions. …”
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2405
Energy-Efficient Optimization Method for Timetable Adjusting in Urban Rail Transit
Published 2025-06-01“…An energy efficiency optimization model is then established to minimize the total net energy consumption of the timetable, and a solution algorithm based on a genetic algorithm is proposed. …”
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2406
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2407
Enhancing Hajj and Umrah Services Through Predictive Social Media Classification
Published 2025-01-01“…The primary objective of this system is to efficiently classify and analyze social media content related to Hajj and Umrah services. To improve the effectiveness of this classification model, we introduce a predictive optimization strategy that employs a deep neural network as the learning module and utilizes particle swarm optimization to refine the weighting parameters. …”
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2408
The Hub Location and Flow Assignment Problem in the Intermodal Express Network of High-Speed Railways and Highways
Published 2025-06-01“…Owing to the NP-hard computational complexity, an improved genetic algorithm with local search is designed by combining the genetic operators and two optimization strategies to solve the problem effectively. …”
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2409
A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN
Published 2025-01-01“…To deal with those challenges, we advocate a novel routing framework that is both steady and power-efficient, leveraging an Improved Type-2 Fuzzy Logic System (IT2FLS) optimized by means of the Reptile Search Algorithm (RSA). …”
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2410
Optimization of Fresh Food Logistics Routes for Heterogeneous Fleets in Segmented Transshipment Mode
Published 2024-12-01“…The k-means++ clustering algorithm is used to determine transshipment points, while an improved adaptive multi-objective ant colony optimization algorithm (IAMACO) is employed to optimize the delivery routes for the heterogeneous fleet. …”
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2411
IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing
Published 2019-01-01“…To address the problem, a novel optimization method named as Improved Hybrid Differential Evolution and Teaching Based Optimization (IHDETBO) is proposed and introduced in detail. …”
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2412
The electromagnetic transient simulation acceleration algorithm based on delay mitigation of dynamic critical paths
Published 2025-04-01“…We first validate the theoretical feasibility of the algorithm using a theoretical case study and illustrate the algorithmic effectiveness using two real case studies, direct current (DC) model and alternating current (AC) model respectively. …”
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2413
Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm
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2414
FOX-TSA hybrid algorithm: Advancing for superior predictive accuracy in tourism-driven multi-layer perceptron models
Published 2024-12-01“…Nature-inspired optimization models have received a great deal of interest due to the performance of these algorithms in solving resourceful and authentic problems. …”
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2415
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2416
Dynamic route planning for emergency escape in coal mines using a Dijkstra-ACO hybrid algorithm
Published 2024-10-01“…To address this limitation, a dynamic route planning approach for coal mine emergency escape was proposed using a Dijkstra-ACO (ant colony optimization) hybrid algorithm. By analyzing the impacts of tunnel slope and water level on escape routes, an optimal route dynamic planning model for emergency escape in coal mines was developed. …”
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2417
FinSafeNet: securing digital transactions using optimized deep learning and multi-kernel PCA(MKPCA) with Nyström approximation
Published 2024-11-01“…FinSafeNet draws attention to the attack and reproductive phases of Hierarchical Particle Swarm Optimization (HPSO) feature selection technique simulating it in a battle for extreme time performance called the Improved Snow-Lion optimization Algorithm (I-SLOA). …”
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2418
An Integrated Learning Approach for Municipal Solid Waste Classification
Published 2024-01-01“…During the feature selection phase, three metaheuristic algorithms—Whale Optimization Algorithm (WOA), Salp Swarm Algorithm (SSA), and Harris Hawk Optimization (HHO)—are applied to filter out irrelevant features and retain significant ones. …”
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2419
A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction
Published 2025-01-01“…We also present the Spider Wasp Optimization (SWO) algorithm, which aims to improve performance by feature selection. …”
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2420
An optimized public opinion communication system in social media networks based on K-means cluster analysis
Published 2024-12-01“…This study proposes a public opinion monitoring model that combines the K-means clustering algorithm with Particle Swarm Optimization (PSO) to enhance the accuracy and effectiveness of public opinion monitoring on social media. …”
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