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761
MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats
Published 2025-04-01“…To improve the global search efficiency and dynamic adaptability of the Sand Cat Swarm Optimization (SCSO) algorithm for UAV path planning in complex 3D environments, this study proposes a Modified Sand Cat Swarm Optimization (MSCSO) algorithm by integrating chaotic mapping initialization, Lévy flight–Metropolis hybrid exploration mechanisms, simulated annealing–particle swarm hybrid exploitation strategies, and elite mutation techniques. …”
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762
Application of Simulated Annealing Algorithm in the Construction of Online Examination System for Tax Law Courses
Published 2025-01-01“…Experimental results demonstrate that SA achieves superior performance compared to genetic algorithms (GA), greedy approaches, ant colony optimization (ACO), and particle swarm optimization (PSO). …”
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763
Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing
Published 2024-12-01“…To this purpose, we define a novel VAPT environment through which we devise multiple evaluation scenarios. While evidencing the limited capabilities of shallow RL approaches, we consider three state-of-the-art deep RL agents, namely Deep Q-Network (DQN), Proximal Policy Optimization (PPO), and Advantage Actor–Critic (A2C), and use them as bases for VAPT operations. …”
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764
Vehicle scheduling optimization for demand responsive transit with flexible stops
Published 2024-11-01Get full text
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765
Sensor Field Segmentation and Parameter Optimization for Electrical Capacitance Tomography System
Published 2021-04-01“…From the comparative analysis of the experimental results,the accuracy of the reconstructed image of the sensor designed by orthogonal experiment is higher than that of the reference sensor,while the imagingeffect of the sensor optimized by RBF neural network and chaotic simulated annealing particle swarm optimization algorithm is better than the orthogonal experimental design. …”
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766
A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs
Published 2024-12-01“…This study aims to develop an ad hoc optimization methodology that uses combined Computational Fluid Dynamics (CFD)–Finite Element Method (FEM) simulations, surrogate models, and Genetic Algorithms to optimize the acoustic properties of EGCSs while considering the limits imposed by the efficiency of chemical reactions for the abatement of NO<sub>x</sub> and SO<sub>x</sub>. …”
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767
Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems
Published 2025-09-01“…However, it requires a careful and optimized selection of the installation site to fully harness the available energy resources. …”
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768
A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization
Published 2022-01-01“…In addition, filter optimization has been innovatively introduced in this paper, and the step size of each iteration of the model is selected through the filter optimization algorithm to achieve the better iterative effect. …”
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769
Evolutionary Topological Optimization Method for Local Rib Addition in Single-Layer Shell Structures
Published 2025-07-01“…Using steel consumption as the evaluation index, a topological optimization method based on the evolutionary structural optimization algorithm is proposed for single-layer reticulated shell structures. …”
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770
Hidden-layer configurations in reinforcement learning models for stock portfolio optimization
Published 2025-03-01“…These findings suggest that the effectiveness of hidden-layer configurations depends on the specific algorithm used. While A2C and DDPG benefit from increased complexity, simpler architectures may be more suitable for PPO and TD3. …”
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771
Research on the connectivity reliability analysis and optimization of natural gas pipeline network based on topology
Published 2025-04-01“…Second, an adaptive genetic algorithm (AGA) is designed to optimize network topology, dynamically adjusting crossover and mutation rates (0.8≤ $$\:{p}_{c}$$ ≤0.01, 0.01≤ $$\:{p}_{m}$$ ≤ 0.8) based on population diversity, while enforcing constraints through penalty functions (node degree $$\:{k}_{max}$$ =4, pipeline length $$\:{l}_{max}$$ =120 km). …”
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772
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773
Engine performance and emission optimization with waste cooking oil biodiesel/diesel blend using ANN and RSM techniques coupled with ACKTR-DE and HHO algorithms
Published 2025-05-01“…By applying the developed model, the brake thermal efficiency (BTE) response was optimized to its maximum value, while all other responses were minimized. …”
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774
Advanced control and optimization techniques for DFIG wind energy systems: A case study using pelican algorithm and CTID-PID controller
Published 2025-06-01“…The RSC is controlled using the pelican optimization technique, a nature-inspired algorithm that effectively tunes control parameters to achieve optimal dynamic response and minimize power losses, enabling maximum wind power capture while maintaining stability. …”
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775
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776
An Enhanced NSGA-II Algorithm with Parameter Categorization for Computational-Efficient Multi-Objective Optimization of Active Glass Curtain Wall Shading Systems
Published 2025-03-01“…To address the limitations of the Non-Dominated Sorting Genetic Algorithm (NSGA-II) in optimizing active glass curtain wall shading systems—particularly its suboptimal convergence efficiency and high computational demands—this study proposes an improved NSGA-II algorithm incorporating parameter categorization. …”
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777
A hybrid scheduling approach for mega event transportation: integrating harmony search and black widow optimization
Published 2024-12-01“…This study introduces a novel hybrid optimization algorithm that combines the strengths of harmony search (HS) and black widow optimization (BWO). …”
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778
Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades
Published 2025-02-01“…Then, by defining eight variables, an attempt was made to optimize the design. The genetic algorithm was used as the optimization algorithm in this process. …”
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779
A multi-objective optimization framework based on information sharing for serially connected robot design
Published 2025-08-01“…The two-robot controller can zero-shot generalize various sizes of serially connected robots, ensuring good motion coordination while significantly reducing the cost of control optimization. …”
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780
Integrative electricity need prediction utilizing enhanced squeeze net and flexible Coyote optimization algorithm A combination of RCPs SSPs and socioeconomic
Published 2025-07-01“…The effectiveness of the compact network is increased by using the Flexible Coyote Optimization Algorithm (FCOA), which plays a vital role in optimizing parameters and accelerating convergence. …”
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