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1
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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2
Lightning search algorithm for economic dispatch solution considering practical constraints and transmission loss
Published 2024“…The main purpose of ED problem is to determine the optimal power output of the committed generators to satisfy the load demand and operational constraints. …”
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3
Skyline queries on data with uncertain dimensions for efficient computation
Published 2018“…Skyline query is crucial in multi-criteria decision making applications particularly in applications that generate uncertain data. Although there is a significant amount of research that has been committed for efficient skyline computation, regrettably, existing works lack on how to conduct skyline queries on uncertain data with objects represented as continuous ranges and exact values. …”
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