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http://bura.brunel.ac.uk/handle/2438/5980
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DC Field | Value | Language |
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dc.contributor.author | Yang, S | - |
dc.date.accessioned | 2011-11-21T15:29:50Z | - |
dc.date.available | 2011-11-21T15:29:50Z | - |
dc.date.issued | 2002 | - |
dc.identifier.citation | 8th International Conference on Artificial Life (ALife VIII): 182 - 185, 2002 | en_US |
dc.identifier.uri | http://alife.org/alife8/proceedings/sub2412.pdf | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/5980 | - |
dc.description | The final published version of this article is available at the link below. Copyright @ MIT Press. | en_US |
dc.description.abstract | Genetic Algorithms (GAs) emulate the natural evolution process and maintain a popilation of potential solutions to a given problem. Through the population, GAs implicitly maintain the statistics about the search space. This implicit statistics can be used explicitly to enhance GA's performance. Inspired by this idea, a statistics-based adaptive non-uniform crossover (SANUX) has been proposed. SANUX uses the statisics information of the alleles in each locus to adaptively caluclate the swapping probability of that locus for crossover operation. A simple triangular function has been used to calculate the swapping probability. In this paper new functions, the trapezoid and exponential functions, are proposed for SANUX instead of the triangular function. Experiment results show that both functions further improve the performance of SANUX. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MIT Press | en_US |
dc.title | Adaptive crossover in genetic algorithms using statistics mechanism | en_US |
dc.type | Conference Paper | en_US |
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: | Computer Science Dept of Computer Science Research Papers |
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Fulltext.pdf | 156.9 kB | Adobe PDF | View/Open |
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