Search alternatives:
data optimization » dog optimization (Expand Search), swarm optimization (Expand Search), based optimization (Expand Search)
based process » batch process (Expand Search)
binary data » binary rat (Expand Search)
data optimization » dog optimization (Expand Search), swarm optimization (Expand Search), based optimization (Expand Search)
based process » batch process (Expand Search)
binary data » binary rat (Expand Search)
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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Published 2023“…In this study, features were extracted from signals in time, frequency, and time–frequency domains. The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …”
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The buffered work-pool approach for search-tree based optimization algorithms
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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
Published 2022“…In this paper, a recent swarm intelligence metaheuristic method called RSO which is inspired by the social and hunting behavior of a group of rats is enhanced and explored for FS problems. The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
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A method for data path synthesis using neural networks
Published 2017“…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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Minimizing using BBO and DFO methods
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Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility
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Correlation Clustering via s-Club Cluster Edge Deletion
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
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Minimum UAV fog servers with maximum IoT devices association using genetic algorithms
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …”
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A novel network-based SIS framework for improved GA performance
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