Abstract | ||
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Differential evolution (DE) is a simple but powerful evolutionary algorithm, which has been widely and successfully used in various areas. In this paper, an event-triggered impulsive (ETI) control scheme is introduced to improve the performance of DE. Impulsive control (IPC), the concept of which derives from control theory, aims at regulating the states of a network by instantly adjusting the sta... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TCYB.2015.2512942 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Sociology,Statistics,Optimization,Control theory,Evolutionary computation,Sun | Population,Mathematical optimization,Evolutionary algorithm,Evolutionary computation,Differential evolution,Event triggered,IEEE Congress on Evolutionary Computation,Mathematics | Journal |
Volume | Issue | ISSN |
47 | 1 | 2168-2267 |
Citations | PageRank | References |
29 | 0.73 | 47 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wei Du | 1 | 62 | 6.55 |
S. Y. S. Leung | 2 | 227 | 13.99 |
Yang Tang | 3 | 392 | 21.87 |
Athanasios V. Vasilakos | 4 | 12735 | 523.55 |