Evaluating Multiobjective Evolutionary Algorithms Using MCDM Methods
Joint Authors
Yu, Xiaobing
Lu, YiQun
Yu, Xianrui
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The evaluation of multiobjective evolutionary algorithms (MOEAs) involves many metrics, it can be considered as a multiple-criteria decision making (MCDM) problem.
A framework is proposed to estimate MOEAs, in which six MOEAs, five performance metrics, and two MCDM methods are used.
An experimental study is designed and thirteen benchmark functions are selected to validate the proposed framework.
The experimental results have indicated that the framework is effective in evaluating MOEAs.
American Psychological Association (APA)
Yu, Xiaobing& Lu, YiQun& Yu, Xianrui. 2018. Evaluating Multiobjective Evolutionary Algorithms Using MCDM Methods. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1209812
Modern Language Association (MLA)
Yu, Xiaobing…[et al.]. Evaluating Multiobjective Evolutionary Algorithms Using MCDM Methods. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1209812
American Medical Association (AMA)
Yu, Xiaobing& Lu, YiQun& Yu, Xianrui. Evaluating Multiobjective Evolutionary Algorithms Using MCDM Methods. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1209812
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209812
