dc.contributor.author | Alipouri, Yousef | |
dc.contributor.author | Ahmadizadeh, Saeed | |
dc.contributor.author | Karimi, Hamid Reza | |
dc.contributor.author | Vahid Naghavi, S. | |
dc.contributor.author | Sarvestani, Ahad Soltani | |
dc.date.accessioned | 2014-01-24T09:52:14Z | |
dc.date.available | 2014-01-24T09:52:14Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Alipouri, Y., Ahmadizadeh, S., Karimi, H. R., Vahid Naghavi, S., & Sarvestani, A. S. (2013). Improving performance of evolutionary algorithms with application to fuzzy control of truck backer-upper system. Mathematical Problems in Engineering, 2013, 1-9. doi: 10.1155/2013/709027 | no_NO |
dc.identifier.issn | 1024-123X | |
dc.identifier.uri | http://hdl.handle.net/11250/137013 | |
dc.description | Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/709027 Open access | no_NO |
dc.description.abstract | We propose a method to improve the performance of evolutionary algorithms (EA). The proposed approach defines operators which can modify the performance of EA, including Levy distribution function as a strategy parameters adaptation, calculating mean point for finding proper region of breeding offspring, and shifting strategy parameters to change the sequence of these parameters. Thereafter, a set of benchmark cost functions is utilized to compare the results of the proposed method with some other well-known algorithms. It is shown that the speed and accuracy of EA are increased accordingly. Finally, this method is exploited to optimize fuzzy control of truck backer-upper system. | no_NO |
dc.language.iso | eng | no_NO |
dc.publisher | Hindawi Publishing Corporation | no_NO |
dc.subject | improving performance | no_NO |
dc.subject | shifting strategy | no_NO |
dc.subject | fuzzy control | no_NO |
dc.subject | trucks | no_NO |
dc.subject | evolutionary algorithms | no_NO |
dc.title | Improving performance of evolutionary algorithms with application to fuzzy control of truck backer-upper system | no_NO |
dc.type | Journal article | no_NO |
dc.type | Peer reviewed | no_NO |
dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410 | no_NO |
dc.source.pagenumber | 1-9 | no_NO |
dc.source.journal | Mathematical Problems in Engineering | no_NO |
dc.identifier.doi | 10.1155/2013/709027 | |