MSGM : A Markov Model Based Similarity Guide Matrix for Optimising Ordered Problems by Balanced-Evolution Genetic Algorithms
| dc.contributor.author | Ohira, Ryoma J. | |
| dc.contributor.author | Islam, Md Saiful | |
| dc.contributor.author | Kayesh, Humayun | |
| dc.contributor.author | Islam, S. M.Riazul | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.date.accessioned | 2024-04-17T08:26:01Z | |
| dc.date.available | 2024-04-17T08:26:01Z | |
| dc.date.issued | 2020-12-07 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 15 | |
| dc.format.extent | 2565520 | |
| dc.identifier | 281142916 | |
| dc.identifier | 5cb7dd9e-3ae8-470e-ba04-8dfc707feb26 | |
| dc.identifier | 85096842065 | |
| dc.identifier.citation | Ohira, R J, Islam, M S, Kayesh, H & Islam, S M R 2020, 'MSGM : A Markov Model Based Similarity Guide Matrix for Optimising Ordered Problems by Balanced-Evolution Genetic Algorithms', IEEE Access, vol. 8, 9264123, pp. 210286-210300. https://doi.org/10.1109/ACCESS.2020.3039190 | en |
| dc.identifier.doi | 10.1109/ACCESS.2020.3039190 | |
| dc.identifier.issn | 2169-3536 | |
| dc.identifier.other | ORCID: /0000-0003-2968-9561/work/142570813 | |
| dc.identifier.uri | https://hdl.handle.net/2164/23270 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85096842065&partnerID=8YFLogxK | en |
| dc.identifier.vol | 8 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | IEEE Access | en |
| dc.subject | Adaptive optimisation | en |
| dc.subject | balanced-evolution genetic algorithms | en |
| dc.subject | Markov model | en |
| dc.subject | ordered problems | en |
| dc.subject | QH426 Genetics | en |
| dc.subject | General Computer Science | en |
| dc.subject | General Materials Science | en |
| dc.subject | General Engineering | en |
| dc.subject.lcc | QH426 | en |
| dc.title | MSGM : A Markov Model Based Similarity Guide Matrix for Optimising Ordered Problems by Balanced-Evolution Genetic Algorithms | en |
| dc.type | Journal article | en |
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