Search alternatives:
while optimization » whale optimization (Expand Search), chimp optimization (Expand Search), spider optimization (Expand Search)
case optimization » based optimization (Expand Search), whale optimization (Expand Search), swarm optimization (Expand Search)
based case » based false (Expand Search)
binary a » binary rat (Expand Search)
while optimization » whale optimization (Expand Search), chimp optimization (Expand Search), spider optimization (Expand Search)
case optimization » based optimization (Expand Search), whale optimization (Expand Search), swarm optimization (Expand Search)
based case » based false (Expand Search)
binary a » binary rat (Expand Search)
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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“…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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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …”
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A new genetic algorithm approach for unit commitment
Published 1997“…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …”
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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
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Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework
Published 2024Get full text
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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. …”