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Decomposition in Decision and Objective Space for Multi-Modal Multi-Objective Optimization
Prevalent multi-objective evolutionary algorithms are not purely designed to search for multiple solution subsets, whereas, algorithms designed for MMMOPs demonstrate degraded performance in the objective space.
A Many Objective Optimization Approach for Transfer Learning in EEG Classification
This work aims at knowledge transfer to classify EEG of the target subject using a classifier trained with the EEG of another unit source subject.
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