Output details
11 - Computer Science and Informatics
Aberystwyth University
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Output 0 of 0 in the submission
Article title
A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems
Type
D - Journal article
Title of journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Article number
-
Volume number
39
Issue number
5
First page of article
1092
ISSN of journal
1083-4419
Year of publication
2009
URL
-
Number of additional authors
3
Additional information
<22> IF=3.236. Published in this top journal in SMC, this paper proposes a general approach for analysing population-based EAs on unimodal problems. Follow-on work by the authors appeared in premier journals IEEE T Evolutionary Computation and Theoretical Computer Science (that are not returned). Led to further development of population-based evolutionary algorithms internationally (e.g. by researchers at Max-Planck-Institut Fur Informatik, Germany; Universidad de Malaga, Spain; and Massey University, New Zealand).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
