An Efficient Imperialist Competitive Algorithm for Solving the QFD Decision Problem
Joint Authors
Ji, Xue
Gao, Qi
Yin, Fupeng
Guo, Hengdong
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
It is an important QFD decision problem to determine the engineering characteristics and their corresponding actual fulfillment levels.
With the increasing complexity of actual engineering problems, the corresponding QFD matrixes become much huger, and the time spent on analyzing these matrixes and making decisions will be unacceptable.
In this paper, a solution for efficiently solving the QFD decision problem is proposed.
The QFD decision problem is reformulated as a mixed integer nonlinear programming (MINLP) model, which aims to maximize overall customer satisfaction with the consideration of the enterprises’ capability, cost, and resource constraints.
And then an improved algorithm G-ICA, a combination of Imperialist Competitive Algorithm (ICA) and genetic algorithm (GA), is proposed to tackle this model.
The G-ICA is compared with other mature algorithms by solving 7 numerical MINLP problems and 4 adapted QFD decision problems with different scales.
The results verify a satisfied global optimization performance and time performance of the G-ICA.
Meanwhile, the proposed algorithm’s better capabilities to guarantee decision-making accuracy and efficiency are also proved.
American Psychological Association (APA)
Ji, Xue& Gao, Qi& Yin, Fupeng& Guo, Hengdong. 2016. An Efficient Imperialist Competitive Algorithm for Solving the QFD Decision Problem. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1111901
Modern Language Association (MLA)
Ji, Xue…[et al.]. An Efficient Imperialist Competitive Algorithm for Solving the QFD Decision Problem. Mathematical Problems in Engineering No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1111901
American Medical Association (AMA)
Ji, Xue& Gao, Qi& Yin, Fupeng& Guo, Hengdong. An Efficient Imperialist Competitive Algorithm for Solving the QFD Decision Problem. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1111901
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111901