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Deephive: A Reinforcement Learning Approach for Automated Discovery of Swarm-Based Optimization Policies
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Empirical Analysis of Honeybees Acoustics as Biosensors Signals for Swarm Prediction in Beehives
Published 2024-01-01“…In this paper, we aim to evaluate various state-of-the-art machine learning and deep learning models for swarm prediction by studying wave plot features, Mel Spectrogram, and Melfrequency Cepstral coefficients (MFCC). …”
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165
Modified particle swarm optimization (MPSO) optimized CNN’s hyperparameters for classification
Published 2025-02-01“…This paper proposes a convolutional neural network architectural design approach using the modified particle swarm optimization (MPSO) algorithm. Adjusting hyper-parameters and searching for optimal network architecture from convolutional neural networks (CNN) is an interesting challenge. …”
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166
An improved particle swarm optimization for multilevel thresholding medical image segmentation.
Published 2024-01-01“…Replacing the original costly exhaustive search approach, swarm intelligent optimization algorithms are recently used to determine the optimal thresholds for medical image, and medical images tend to have higher bit depth. …”
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167
Comparative Analysis of MFO, GWO and GSO for Classification of Covid-19 Chest X-Ray Images
Published 2023-08-01“…This study examines a comparison analysis of k-nearest neighbors (KNN), Extreme Gradient Boosting (XGboost), and Support-Vector Machine (SVM) are some classification approaches for feature selection in this domain using The Moth-Flame Optimization algorithm (MFO), The Grey Wolf Optimizer algorithm (GWO), and The Glowworm Swarm Optimization algorithm (GSO). …”
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168
An optimized LSTM-based deep learning model for anomaly network intrusion detection
Published 2025-01-01“…The presented model uses three optimization methods, i.e., Particle Swarm Optimization (PSO), JAYA, and Salp Swarm Algorithm (SSA), to optimize the hyperparameters of LSTM. …”
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169
Machine learning-based coalbed methane well production prediction and fracturing parameter optimization
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170
Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction
Published 2023-12-01“…This approach involves many rounds of data sorting for decreasing noise, thresholding an ECG difference signal by examining the time interval between QRS, and then comparing relative magnitudes to identify the area of interval processing to evaluate accuracy results. In order to choose the best features, a modified chicken swarm optimization algorithm (MCSO) was proposed. …”
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A state evaluation and fault diagnosis strategy for substation relay protection system integrating multiple intelligent algorithms
Published 2024-12-01“…This study introduces a new diagnostic framework that combines improved particle swarm optimization, K‐means clustering algorithms, support vector machine (SVM), and learning vector quantization neural networks to provide a comprehensive fault diagnosis and prediction model for relay protection systems. …”
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173
QoE-aware video distribution mechanism in FiWi
Published 2018-01-01“…The mismatch of transmission ability causes the discontinuous transmission of video services in fiber-wireless access network,aimed at this problem,an QoE-aware video distribution mechanism was proposed.According to the structural characteristics of fiber-wireless access network,link state information and scalable video coding structure was considered,a QoE evaluation mode was established,and the particle swarm optimization algorithm was used to select optimal video transmission rate.Then the node transmission capacity and the node matching degree was analyzed,transmission path for the services was selected,so as to ensure the reliable transmission of services.The results show that the proposed mechanism can effectively improve the utilization rate of network resources and reduce network congestion while improving the quality of the user experience.…”
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174
Multi-Stress Accelerated Degradation Testing Reliability Assessment of LED Lamp Beads Considering Generalized Coupling
Published 2024-09-01“…Then, a generalized coupling maximum likelihood estimation method (MLE) for the entire sample was constructed, and the particle swarm algorithm was used to solve the parameters. …”
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175
Bearing fault diagnosis algorithm based on maximum correlated kurtosis feature mode decomposition and compound Gini index
Published 2023-07-01“…Firstly, a new sparse index called CGI was constructed by combining the squared Gini index in the time domain and frequency domain to quantify the abundance of periodic impulses in the time domain and frequency domain, and its performance was evaluated and verified. Secondly, CGI was used as the fitness function for the sand cat swarm optimization (SCSO) algorithm to quickly and accurately obtain the optimal parameter combination of MCKFMD and realize the adaptive decomposition of fault signals. …”
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176
Research on the collaborative mechanism between site selection optimization model and control of green space planning under the background of urban renewal
Published 2025-04-01“…This paper proposes a method of green space evaluation and site selection optimization based on Geographic Information System (GIS) modelling and particle swarm optimization algorithm. …”
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177
Design of Hybrid Renewable Energy Systems: Integrating Multi‐Objective Optimization Into a Multi‐Criteria Decision‐Making Framework
Published 2025-01-01“…The proposed framework initially uses a metaheuristic multi‐objective (MO) optimization algorithm to generate optimal candidate configurations and then objectively evaluates candidates to select the best configuration. …”
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A hybrid optimization algorithm based on cascaded (1 + PI)-PI-PID controller for load frequency control in interconnected power systems
Published 2024-12-01“…This study introduces a cascaded (1+PI)-PI-PID controller optimized using the improved Artificial Bee Colony-Particle Swarm Optimization (IABC-PSO) algorithm for LFC in interconnected power systems, aiming to address complex challenges associated with LFC in modern power systems. …”
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Assessment of performance metrics for fusion network
Published 2021-06-01“…From the outcome it has been verified that the designed technique is finest in contrast to other alternatives of particle swarm optimization and ant colony optimization Routing overheads of the designed algorithm are reduced in contrast to other methods.…”
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