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

被引：6
|
作者：
Yu, Xiaobing [1 ,2 ]
Li, Chenliang [1 ,2 ]
Chen, Hong [1 ,2 ]
Yu, Xianrui [1 ,2 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Jiangsu, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2019年 / 12卷 / 02期
关键词：
Multiobjective problems; MOEAs; Box plots; Fuzzy TOPSIS; CONSTRAINED OPTIMIZATION; DECISION-MAKING; SOFT SETS; SEARCH;
D O I：
10.2991/ijcis.d.190629.001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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. (c) 2019 The Authors. Published by Atlantis Press SARL.
引用
收藏
页码：733 / 743
页数：11
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