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A Novel Six-Dimensional Chimp Optimization Algorithm—Deep Reinforcement Learning-Based Optimization Scheme for Reconfigurable Intelligent Surface-Assisted Energy Harvesting in Batt...
Published 2024-12-01“…The proposed 6DChOA-DRL algorithm optimizes RIS phase shifts to enhance the received power of IoT devices while mitigating interference from direct and RIS-cascaded links. …”
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742
Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation
Published 2024-07-01“…The system fairness was measured by a user satisfaction index and the system throughput was optimized while considering fairness. The optimization problem was modeled as a multi-objective optimization. …”
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743
A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks
Published 2025-07-01“…R2024a, avoiding reliance on pre-optimized libraries to isolate algorithmic behavior. …”
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744
An Improved Maximum Power Point Tracking Control Scheme for Photovoltaic Systems: Integrating Sparrow Search Algorithm-Optimized Support Vector Regression and Optimal Regulation fo...
Published 2025-06-01“…The sparrow search algorithm (SSA), recognized for its excellent global search capability, was employed to optimize the hyperparameters of SVR to further increase the prediction accuracy. …”
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745
Sustainable Mineral Processing Technologies Using Hybrid Intelligent Algorithms
Published 2025-06-01“…The proposed control algorithm reduces chromium losses in tailings from 7.5% to 5.5%, while improving concentrate quality by 3–6%. …”
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746
Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ
Published 2025-02-01“…The multi-objective optimization algorithm outperforms traditional radiation shielding design methods in quickly finding a solution that meets the shielding requirements while simultaneously weighing multiple objectives, such as the dose rate, volume and weight of the shielding material. …”
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747
Online Traffic Crash Risk Inference Method Using Detection Transformer and Support Vector Machine Optimized by Biomimetic Algorithm
Published 2024-11-01“…The algorithm is developed by combining the Whale Optimization Algorithm (WOA) and Simulated Annealing (SA), resulting in a Hybrid Bionic Intelligent Optimization Algorithm. …”
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748
Dynamical Analysis and Optimization of Combined Vibration Isolator with Time Delay
Published 2025-07-01“…To further enhance performance, a genetic algorithm is used to optimize the control parameters under harmonic force excitation. …”
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749
Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators
Published 2025-04-01“…This study explores the application of quantum computing in asset management, focusing on the use of the Quantum Approximate Optimization Algorithm (QAOA) to solve specific classes of financial asset recommendation problems. …”
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750
Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory
Published 2024-03-01“…We employ a Genetic Algorithm (GA) to optimize portfolios under both criteria. …”
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751
A novel feature selection algorithm using decomposition based multi-objective guided honey badger algorithm (MO-GHBA) and NSGA-III
Published 2023-04-01“…In most of the MOEAs based feature selection algorithms, more optimal solutions are obtained around the Pareto front's center because of the deficiency in selection features. …”
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752
A new smart charging electric vehicle and optimal DG placement in active distribution networks with optimal operation of batteries
Published 2025-03-01“…Thirdly, this paper proposes an optimization technique based on the Mountain Gazelle Optimizer (MGO), Improved Beluga Whale Optimization (IBWO), and Arithmetic Optimization Algorithm (AOA) for determining the optimal DGs in radial distribution systems. …”
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753
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754
Cluster Partitioning Method for High-PV-Penetration Distribution Network Based on mGA-PSO Algorithm
Published 2025-02-01“…To tackle the issues of scattered distributed photovoltaic access points and unbalanced cluster partitioning scales, an iterative clustering partitioning method is proposed, a which integrates micro-evolution genetic algorithm and particle swarm optimization (mGA-PSO). …”
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755
Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots
Published 2025-07-01“…To address these limitations, this study proposes the Multi-Strategy Controlled Rime Algorithm (MSRIME), whose innovation primarily manifests in three aspects: first, it constructs a multi-strategy collaborative optimization framework, utilizing an infinite folding Fuch chaotic map for intelligent population initialization to significantly enhance the diversity of solutions; second, it designs a cooperative mechanism between a controlled elite strategy and an adaptive search strategy that, through a dynamic control factor, autonomously adjusts the strategy activation probability and adaptation rate, expanding the search space while ensuring algorithmic convergence efficiency; and finally, it introduces a cosine annealing strategy to improve the step size adjustment mechanism, reducing parameter sensitivity and effectively preventing path distortions caused by abrupt step size changes. …”
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756
Effective Modeling of Photovoltaic Modules Using Sailfish Optimizer
Published 2023-02-01“…Moreover, to show the efficacy of the algorithm, the results are compared with some literature techniques such as Salp-Swarm-Optimizer (SSA), Whale Optimization (WOA), Artificial-Bee-Colony (ABC), and Particle-Swarm Optimization (PSO) methods. …”
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757
METAHEURISTIC-AI ENHANCED CUSTOM DEEP LEARNING NETWORK OPTIMIZED WITH SAND CAT SWARM ALGORITHM FOR ORAL CANCER DIAGNOSIS
Published 2025-06-01“…The CNN architecture is designed to automatically extract discriminative features from images, while the SCSO algorithm fine-tunes crucial hyperparameters such as learning rate, batch size, and dropout rate to enhance model performance. …”
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758
Multi-objective recommendation system utilizing a multi-population knowledge migration framework
Published 2025-04-01“…Within this framework, we design three distinct optimization paths aimed at enhancing the convergence performance of the multi-objective algorithm and improving the hypervolume value metric of results. …”
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