A Preprocessing Technique to Investigate the Stability of Multi-Objective Heuristic Ensemble Classifiers

Pourtaheri, Zeinab Khatoun

doi:10.22061/jecei.2020.6581.325

Document Type : Original Research Paper

Author

Zeinab Khatoun Pourtaheri

Mechanical Engineering Department, Higher Education Complex of Bam, Bam, Iran.

10.22061/jecei.2020.6581.325

Abstract

Background and Objectives: According to the random nature of heuristic algorithms, stability analysis of heuristic ensemble classifiers has particular importance.
Methods: The novelty of this paper is using a statistical method consists of Plackett-Burman design, and Taguchi for the first time to specify not only important parameters, but also optimal levels for them. Minitab and Design Expert software programs are utilized to achieve the stability goals of this research.
Results: The proposed approach is useful as a preprocessing method before employing heuristic ensemble classifiers; i.e., first discover optimal levels of important parameters and then apply these parameters to heuristic ensemble classifiers to attain the best results. Another significant difference between this research and previous works related to stability analysis is the definition of the response variable; an average of three criteria of the Pareto front is used as response variable.Finally, to clarify the performance of this method, obtained optimal levels are applied to a typical multi-objective heuristic ensemble classifier, and its results are compared with the results of using empirical values; obtained results indicate improvements in the proposed method.
Conclusion: This approach can analyze more parameters with less computational costs in comparison with previous works. This capability is one of the advantages of the proposed method.

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Copyrights
©2020 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.
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Keywords

Main Subjects

Computational Intelligence

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Journal of Electrical and Computer Engineering Innovations (JECEI)

A Preprocessing Technique to Investigate the Stability of Multi-Objective Heuristic Ensemble Classifiers

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Volume 8, Issue 1
Winter and Spring 2020
Pages 125-134

A Preprocessing Technique to Investigate the Stability of Multi-Objective Heuristic Ensemble Classifiers

References

References

Send comment about this article

Volume 8, Issue 1Winter and Spring 2020Pages 125-134

Volume 8, Issue 1
Winter and Spring 2020
Pages 125-134