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Multi Objective Enhancement Method for Embedded Software Quality of e-Commerce Platform Based on Firefly Algorithm Optimization

Authors :
Yi-Huo Jiang
Xiao-Mei Guo
Hong-Liang Ni
Marcin Wozniak
Source :
IEEE Access, Vol 9, Pp 168558-168566 (2021)
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Embedded software is the basic guarantee for the safe and stable operation of e-commerce platform. In order to improve the embedded software quality of e-commerce platform, a multi-objective enhancement method based on firefly algorithm optimization is proposed. Based on the two-dimensional strengthening model of embedded software duration cost of e-commerce platform, the application effect of embedded software is quantified by setting multi-level index system, so that the application effect of embedded software is included in the strengthening target. On this basis, the multi-objective strengthening model of embedded software duration, cost and application effect is constructed. The firefly algorithm is used to solve the multi-objective enhancement model, and the firefly algorithm is optimized by constraint priority non inferior ranking. The optimal compromise solution is selected according to the fuzzy membership degree in fuzzy mathematics. Experimental results show that the proposed method can significantly improve the quality of embedded software of e-commerce platform.

Details

Language :
English
ISSN :
21693536
Volume :
9
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.758315949dbe4f5a8471bc3f6246b74d
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2021.3135527