Output details
11 - Computer Science and Informatics
De Montfort University
Article title
A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments
Type
D - Journal article
Title of journal
IEEE Transactions on Evolutionary Computation
Article number
-
Volume number
16
Issue number
4
First page of article
556
ISSN of journal
1089-778X
Year of publication
2012
URL
-
Number of additional authors
1
Additional information
<22> The framework proposed in this paper was experimentally shown to significantly enhance several evolutionary algorithms (EAs) for dynamic optimisation problems (DOPs), of which one (denoted CPSOR) has become a state-of-the-art EA for DOPs (Evolutionary Computation for DOPs, SCI 490, 109–136, 2013). The proposed framework can be easily integrated into different EAs to develop more efficient EAs for DOPs (Evolutionary Computation for DOPs, SCI 490, 109–136, 2013).
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Centre for Computational Intelligence (CCI)
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
