Jan 26, 2024 · The experimental results demonstrate that the proposed algorithm can evolve feature subsets with good convergence and diversity in a shorter ...
Jan 26, 2024 · A grid-dominance based multiobjective algorithm for feature selection in classification. In: Proceedings of IEEE Congress on Evolutionary ...
Jan 26, 2024 · The experimental results demonstrate that the proposed algorithm can evolve feature subsets with good convergence and diversity in a shorter ...
Jan 26, 2024 · (1) A new framework for multiobjective feature selection based on dominance and decomposition is proposed for selecting diverse feature subsets ...
Dominance-based and decomposition-based multiobjective evolutionary algorithms (MOEAs) have been extensively used to address the feature selection problem due ...
Feature selection in classification can be considered a multiobjective problem with the objectives of increasing classification accuracy and decreasing the ...
A multi-objective optimization algorithm customized for selecting the features of multi-label data that achieved better results in terms of classification ...
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Mar 2, 2020 · In this article, we introduce a multi-objective optimization algorithm customized for selecting the features of multi-label data.
In this paper, we propose a new DVC method by analyzing the monotonicities of objectives. Unlike other DVC methods, it does not need to consider dominance ...
In this paper, a decomposition-based multi-population evolutionary algorithm is proposed, called MPEA-FS.