Paper Info
Title
Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor.
Abstract
Dynamic multiobjective optimization problems (DMOPs) challenge multiobjective evolutionary algorithms (MOEAs) because those problems change rapidly over time. The class of DMOPs whose objective functions change over time steps, in ways that exhibit some hidden patterns has gained much attention. Their predictability indicates that the problem exhibits some correlations between solutions obtained i...
Year
DOI
Venue
2020
10.1109/TEVC.2019.2925722
IEEE Transactions on Evolutionary Computation
Keywords
DocType
Volume
Correlation,Optimization,Sociology,Support vector machines,Predictive models,Linear programming
Journal
24
Issue
ISSN
Citations 
2
1089-778X
7
PageRank 
References 
Authors
0.40
29
5
Name
Order
Citations
PageRank
Leilei Cao1312.78
Lihong Xu234436.70
Erik Goodman314515.19
Chunteng Bao470.40
Shuwei Zhu5252.94