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

被引：1
|
作者：
Xiaobing Yu
Chenliang Li
Hong Chen
Xianrui Yu
机构：
[1] Nanjing University of Information Science & Technology,School of Management Science and Engineering
[2] Nanjing University of Information Science & Technology,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters
来源：
International Journal of Computational Intelligence Systems | 2019年 / 12卷
关键词：
Multiobjective problems; MOEAs; Box plots; Fuzzy TOPSIS;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：733 / 743
页数：10
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