Title
Improving Evolutionary Multitasking Optimization by Leveraging Inter-Task Gene Similarity and Mirror Transformation
Abstract
Solving a complex optimization task from scratch can be significantly expensive and/or time-consuming. Common knowledge obtained from different (but possibly related) optimization tasks may help enhance the solving of such tasks. In this regard, evolutionary multitasking optimization (EMTO) has been proposed to improve the solving of multiple optimization tasks simultaneously via knowledge transfe...
Year
DOI
Venue
2021
10.1109/MCI.2021.3108311
IEEE Computational Intelligence Magazine
Keywords
DocType
Volume
Correlation,Sociology,Estimation,Evolutionary computation,Multitasking,Probabilistic logic,Mirrors
Journal
16
Issue
ISSN
Citations 
4
1556-603X
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Xiaoliang Ma118218.51
Yongjin Zheng200.34
Zexuan Zhu398957.41
Xiaodong Li442840.14
Lei Wang514137.05
Yutao Qi6817.35
Junshan Yang700.34