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481
A multistrategy improved hunger games search algorithm
Published 2025-08-01“…The proposed MHGS algorithm provides a novel and effective framework for solving complex optimization problems, demonstrating significant theoretical and practical value in the field of computational intelligence.…”
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482
Quantum Selection for Genetic Algorithms Applied to Electromagnetic Design Problems
Published 2025-07-01“…The method described in this work proposes a hybrid quantum–classical evolutionary optimization algorithm targeting high-frequency electromagnetic problems. …”
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483
Integrated optimization model for production and equipment dispatching in underground mines
Published 2018-09-01“…Integrated optimization of production plays a key role in realizing short completion times of underground mine processes. …”
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484
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485
The Bregman Modified Second APG Method for DC Optimization Problems
Published 2025-01-01“…To address this limitation, researchers often employ Bregman distance as an alternative to Euclidean distance in existing DC algorithms. While this substitution relaxes the requirements on DC functions, it simultaneously introduces greater complexity in theoretical analysis. …”
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486
Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI in the Automotive Industry
Published 2025-01-01“…A methodology integrating K-means clustering with dynamic grid-based routing algorithms (A* and Bresenham’s line algorithm) is applied to optimize the wiring harness layout across the vehicle’s zones, covering six key domains (comfort, chassis, drive assist, infotainment, system, and powertrain). …”
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487
A Bi-Level Capacity Optimization Method for Hybrid Energy Storage Systems Combining the IBWO and MVMD Algorithms
Published 2025-04-01“…The inner layer builds on the optimized results from the outer layer, employing a Multivariable Variational Mode Decomposition (MVMD) algorithm to regulate the power output of the energy storage system. …”
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488
Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance
Published 2025-02-01“…In the first experiment, using only synthetic data, the results indicate that the WOA-based approach outperforms PSO, GWO, and SCA optimization algorithms. The second experiment used real datasets, while the third used tabular data extracted from a video-surveillance system. …”
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489
Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks
Published 2025-01-01“…Simulation results demonstrate that the proposed CGA consistently outperforms EASA, the Genetic Algorithm (GA), and the Juventas Algorithm, achieving an average deviation of only 1.84% from the global optimal solution.…”
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490
A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression
Published 2025-04-01“…Secondly, the DE-GWO, particle swarm optimization (PSO), genetic algorithm (GA), and SVR are integrated to identify the optimal superparameters, while the nonlinear mapping relationship between inversion parameters and displacements is established. …”
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491
Optimal Design Method of a Hybrid CSP-PV Plant Based on Genetic Algorithm Considering the Operation Strategy
Published 2018-01-01“…When the system is optimized by the operation characteristics of the whole year, the lowest LCOE is 0.0555 $/kWh, the rated capacity of PV and CSP system are 242.954 MW and 30 MW, respectively, and the capacity of heat storage and battery are 136.059 MWh and 8.977 MWh. …”
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492
Investigation and optimal design of band gap tunability in fractal phononic crystals
Published 2025-01-01“…Furthermore, this study employs genetic algorithm optimization to achieve the maximum band gap width at different frequencies, enhancing the practical value of fractal phononic crystals in engineering applications. …”
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493
Application of Artificial Intelligence with Ant Colony Algorithm in construction projects schedule
Published 2018-11-01“…So useMethodology of Scheduling of Projects with Artificial Intelligence and with the Approach of Ant Colony Algorithm for Organizations MethodOptimal and practical among other methods. …”
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494
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495
GA-VAE: Enhancing Local Feature Representation in VQ-VAE Through Genetic Algorithm-Based Token Optimization
Published 2025-01-01“…Our proposed Codebook Genetic Algorithm (CGA) selectively optimizes these underutilized tokens by applying genetic operations to enhance their representation capability while maintaining the well-learned features of frequently used tokens. …”
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496
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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497
Reliability Analysis of Three-Dimensional Slopes Considering the Soil Spatial Variability Based on Particle Swarm Optimization Algorithm
Published 2025-03-01“…This paper presents a new algorithm for assessing the reliability of three-dimensional (3D) slope stability considering the spatial variability of soil based on the Particle Swarm Optimization (PSO) algorithm. …”
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498
A genetic algorithm approach to green vehicle routing: Optimizing vehicle allocation and route planning for perishable products
Published 2025-05-01“…Utilizing a Genetic Algorithm (GA), the model demonstrates its effectiveness in achieving near-optimal solutions that balance economic, environmental, and quality-focused goals. …”
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499
Configuration and dimension optimization of active power Filter in distribution networks using a Multi-Strategy improved algorithm
Published 2025-07-01“…Subsequently, to achieve economically optimal conditions while meeting IEEE 519 standards, IBWO is employed to search for the installation positions and capacities of APF. …”
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500
An interior proximal gradient method for nonconvex optimization
Published 2024-07-01“…While traditional IP methods cannot cope with nonsmooth objective functions and proximal algorithms cannot handle complicated constraints, their combined usage is shown to successfully compensate the respective shortcomings. …”
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