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DC Field | Value | Language |
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dc.contributor.author | Wang, H | - |
dc.contributor.author | Wang, X | - |
dc.contributor.author | Yang, S | - |
dc.date.accessioned | 2011-09-26T13:35:06Z | - |
dc.date.available | 2011-09-26T13:35:06Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | EvoWorkshops 2007: Applications of Evolutionary Computing, 4448: 637 - 646, Jun 2007 | en_US |
dc.identifier.uri | http://www.springerlink.com/content/968170487738v217/?p=08562be785674584af3c691b82591045&pi=1 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/5865 | - |
dc.description | This is a post-print version of this article - Copyright @ 2007 Springer-Verlag | en_US |
dc.description.abstract | In recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are time-varying. In this paper, a triggered memory scheme is introduced into the particle swarm optimization to deal with dynamic environments. The triggered memory scheme enhances traditional memory scheme with a triggered memory generator. Experimental study over a benchmark dynamic problem shows that the triggered memory-based particle swarm optimization algorithm has stronger robustness and adaptability than traditional particle swarm optimization algorithms, both with and without traditional memory scheme, for dynamic optimization problems. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer-Verlag | en_US |
dc.title | Triggered memory-based swarm optimization in dynamic environments | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/978-3-540-71805-5_70 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel (Active) | - |
pubs.organisational-data | /Brunel/Brunel (Active)/School of Info. Systems, Comp & Maths | - |
pubs.organisational-data | /Brunel/Research Centres (RG) | - |
pubs.organisational-data | /Brunel/Research Centres (RG)/CIKM | - |
pubs.organisational-data | /Brunel/School of Information Systems, Computing and Mathematics (RG) | - |
pubs.organisational-data | /Brunel/School of Information Systems, Computing and Mathematics (RG)/CIKM | - |
Appears in Collections: | Publications Computer Science Dept of Computer Science Research Papers |
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Fulltext.pdf | 234.56 kB | Adobe PDF | View/Open |
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