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1561
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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1562
Enterprise fission path optimization and dynamic capability construction based on the soft actor-critic algorithm
Published 2025-07-01“…The action space encompasses various strategic choices of enterprise fission to simulate the enterprise fission decision process. The SAC algorithm’s entropy regularization feature prompts the model to strike a balance between exploration and utilization to optimize the dynamic capability construction. …”
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1563
Improved Soybean Mapping with Spectral Gaussian Mixture Modeling
Published 2025-01-01Get full text
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1564
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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1565
Estimating forest aboveground carbon sink based on landsat time series and its response to climate change
Published 2025-01-01“…We found that (1) GA can effectively improve the estimation accuracy of RF, the R 2 can be improved by up to 34.8%, and the optimal GA-RF model R 2 is 0.83. (2) The CSI of Pinus densata in Shangri-La was 0.45–0.72 t C·hm− 2 from 1987 to 2017. (3) Precipitation has the most significant effect on CSI. …”
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1566
Optimization of Relay Node Deployment in Wireless Sensor Communication Networks Based on IGA-RNDP Algorithm
Published 2025-01-01“…To achieve reasonable deployment of relay nodes, a relay node deployment algorithm on the basis of improved genetic algorithm is proposed. …”
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1567
Advanced Sales Route Optimization Through Enhanced Genetic Algorithms and Real-Time Navigation Systems
Published 2025-05-01“…This study proposes a novel Hybrid Genetic Algorithm (GAAM-TS) that integrates Adaptive Mutation, Tabu Search, and an LSTM-based travel time prediction model to enable real-time, intelligent route planning. …”
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1568
Strategic scheduling of the electric vehicle-based microgrids under the enhanced particle swarm optimization algorithm
Published 2024-12-01“…However, the persistent problem of PSOAs (particle swarm optimization algorithms) being affected by local optima emphasizes the need for more improvements to these algorithms. …”
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1569
Optimizing Sentiment Analysis of Digital Wayang Viewer Comments using SMOTE and the Naïve Bayes Algorithm
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1570
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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1571
A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections
Published 2024-08-01“…Taking SS6B electric locomotive pulling C80 freight car as the research object, the train dynamics model based on mass belt is established. This study proposes a deep Q-network (DQN) based intelligent curve generation algorithm for operational optimization in these sections. …”
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1572
Signal Timing Optimization Model for Intersections in Traffic Incidents
Published 2020-01-01“…To satisfy the conditions for efficiently identifying feasible solutions in a short time, a heuristic algorithm (simulated annealing algorithm) is employed to solve the model. …”
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1573
Approximated Optimal Solution for Economic Manufacturing Quantity Model
Published 2025-06-01“…This study investigates the use of the bisection algorithm in inventory models to obtain an approximated optimal solution for the economic manufacturing quantity (EMQ) problem under imperfect production conditions. …”
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1574
Hierarchical Swarm Model: A New Approach to Optimization
Published 2010-01-01“…This proposed model is intended to suggest ways that the performance of HSO-based algorithms on complex optimization problems can be significantly improved. …”
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1575
Enhancing crane and gate OCR efficiency at container terminal using a hybrid genetic algorithm and neural network model: case study of tangier med port
Published 2025-07-01“…The research incorporates a hybrid GA-Neural Network (NN) model further, using machine learning to speed up fitness evaluation and provide optimal settings for OCR performance improvement that is applicable in real world. …”
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1576
Reinforcing long lead time drought forecasting with a novel hybrid deep learning model: a case study in Iran
Published 2025-02-01“…Key parameters of the DFFNN, including the number of neurons and layers, learning rate, training function, and weight initialization, were optimized using the WSO algorithm. The model’s performance was validated against two established optimizers: Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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1577
Multi-objective optimization of hybrid microgrid for energy trilemma goals using slime mould algorithm
Published 2025-08-01“…Compared to conventional metaheuristic such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), the SMA achieves a power loss reduction of 12.3% and a levelized cost of energy (LCOE) improvement of 9.8%. …”
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1578
Enhancing 5G Vehicular Edge Computing Efficiency with the Hungarian Algorithm for Optimal Task Offloading
Published 2024-10-01Get full text
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1579
Metaheuristic Algorithms for Optimization and Feature Selection in Cloud Data Classification Using Convolutional Neural Network
Published 2023-08-01“…A comparison of different metaheuristics algorithms- Particle Swarm Optimization, Shuffled Frog Leap Optimization and Fire fly algorithm for feature optimization is done based on convergence rate and efficiency.…”
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1580
Robust multi-objective optimization for water flooding under geological uncertainty
Published 2025-03-01“…By employing a multi-objective optimization (MOO) algorithm, we aim to minimize the sensitivity of objective functions to geological variability. …”
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