International Journal of Computational Intelligence Systems

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Volume 12, Issue 2, 2019, Pages 733 - 743

Evaluate the Effectiveness of Multiobjective Evolutionary Algorithms by Box Plots and Fuzzy TOPSIS

Authors
Xiaobing Yu1, 2, *, Chenliang Li1, 2, Hong Chen1, 2, Xianrui Yu1, 2
1School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
*Corresponding author. Email: yuxb111@163.com
Corresponding Author
Xiaobing Yu
Received 9 October 2018, Accepted 17 April 2019, Available Online 26 July 2019.
DOI
10.2991/ijcis.d.190629.001How to use a DOI?
Keywords
Multiobjective problems; MOEAs; Box plots; Fuzzy TOPSIS
Abstract

Now, there are a lot of multiobjective evolutionary algorithms (MOEAs) available and these MOEAs argue that they are competitive. In fact, these results are generally unfair and unfaithful. In order to make fair comparison, comprehensive performance index system is established. The weights among the performance index system are solved by an adaptive differential evolution (ADE) algorithm. An approach is proposed to estimate MOEAs based on box plots and fuzzy TOPSIS. Box plots are employed to depict features of performance indicators and fuzzy TOPSIS is used to make evaluation. Experiments have been tested on IEEE CEC2009. The experiment results have revealed that the evaluation approach is effective, fair, and faithful when evaluating MOEAs.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
733 - 743
Publication Date
2019/07/26
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.190629.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Xiaobing Yu
AU  - Chenliang Li
AU  - Hong Chen
AU  - Xianrui Yu
PY  - 2019
DA  - 2019/07/26
TI  - Evaluate the Effectiveness of Multiobjective Evolutionary Algorithms by Box Plots and Fuzzy TOPSIS
JO  - International Journal of Computational Intelligence Systems
SP  - 733
EP  - 743
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190629.001
DO  - 10.2991/ijcis.d.190629.001
ID  - Yu2019
ER  -