dc.contributor.author |
Du Plessis, M.C. (Mathys Cornelius)
|
|
dc.contributor.author |
Engelbrecht, Andries P.
|
|
dc.date.accessioned |
2014-11-03T12:53:29Z |
|
dc.date.available |
2014-11-03T12:53:29Z |
|
dc.date.issued |
2013-01 |
|
dc.description.abstract |
This paper investigates optimization in dynamic environments where the numbers
of optima are unknown or fluctuating. The authors present a novel algorithm, Dynamic
Population DifferentialEvolution (DynPopDE),which is specifically designed for these problems.
DynPopDE is a Differential Evolution based multi-population algorithm that dynamically
spawns and removes populations as required. The new algorithm is evaluated on an
extension of the Moving Peaks Benchmark. Comparisons with other state-of-the-art algorithms
indicate that DynPopDE is an effective approach to use when the number of optima
in a dynamic problem space is unknown or changing over time. |
en_US |
dc.description.librarian |
hb2014 |
en_US |
dc.description.uri |
http://link.springer.com/journal/10898 |
en_US |
dc.identifier.citation |
Du Plessis, MC & Engelbrecht, AP 2013, 'Differential evolution for dynamic environments with unknown numbers of optima', Journal of Global Optimization, vol.55, no. 1, pp. 73-99. |
en_US |
dc.identifier.issn |
0925-5001 (print) |
|
dc.identifier.issn |
1573-2916 (online) |
|
dc.identifier.other |
10.1007/s10898-012-9864-9 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/42470 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Springer |
en_US |
dc.rights |
© Springer Science+Business Media, LLC. 2012. The original publication is available at : http://link.springer.com/journal/10898. |
en_US |
dc.subject |
Differential evolution |
en_US |
dc.subject |
Dynamic environments |
en_US |
dc.subject |
Competing populations |
en_US |
dc.subject |
Moving peaks |
en_US |
dc.subject |
Dynamic number of populations |
en_US |
dc.title |
Differential evolution for dynamic environments with unknown numbers of optima |
en_US |
dc.type |
Postprint Article |
en_US |