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MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution

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Abstract

Feature selection is a pre-processing procedure of choosing the optimal feature subsets for constructing model, yet it is difficult to satisfy the requirements of reducing number of features and maintaining classification accuracy. Towards this problem, we propose novel multi-objectives large-scale cooperative coevolutionary algorithm for three-objectives feature selection, termed MLFS-CCDE. Firstly, a cooperative searching framework is designed for efficiently and effectively seeking for the optimal feature subset. Secondly, in the framework, three objectives, feature’s number, classification accuracy and total information gain are established for guiding the evolution of features’ combination. Thirdly, in framework’s decomposition process, cluster-based decomposition strategy is elaborated for reducing the computation; in framework’s coevolution process, dual indicator-based representatives are elaborated for balancing the representative solution’ convergence and diversity. Finally, to verify framework’s practicability, a heart disease diagnosis system based on MLFS-CCDE framework is constructed in cardiology. Numerical experiments demonstrate that the proposed MLFS-CCDE outperforms its competitors in terms of both classification accuracy and metrics of features’ number.

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Funding

This work is supported by the National Natural Science Foundation of China under Grant No. 62072348, the Science and Technology Major Project of Hubei Province (Next-Generation AI Technologies) under Grant No. 2019AEA170 and Translational Medicine and Interdisciplinary Research Joint Fund of Zhongnan Hospital of Wuhan University under Grant No. ZNJC201917.

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  1. School of Computer Science, Wuhan University, Wuhan, China

    Haoran Li, Fazhi He, Yilin Chen & Yiteng Pan

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  1. Haoran Li
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Correspondence to Fazhi He.

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Haoran Li declares that he has no conflict of interest. Fazhi He declares that he has no conflict of interest. Yiling Chen declares that she has no conflict of interest. Yiteng Pan declares that he has no conflict of interest.

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Li, H., He, F., Chen, Y. et al. MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution. Memetic Comp. 13, 1–18 (2021). https://doi.org/10.1007/s12293-021-00328-7

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