| dc.contributor.author | Chaaban, W., Schwarz, M. and Borcsock, J. | en |
| dc.contributor.editor | - | en |
| dc.date.accessioned | 2017-03-21T13:26:24Z | |
| dc.date.available | 2017-03-21T13:26:24Z | |
| dc.date.copyright | 2013 | |
| dc.date.issued | 2013-06 | |
| dc.identifier.citation | Chaaban, W., Schwarz, M. and Borcsock, J. (2013) 'Budgetary and redundancy optimisation of homogeneous series-parallel systems subject to availability constraints using matlab implemented genetic computing', presented at 24th IET Irish Signals and Systems Conference (ISSS 2013) 20 - 21 Jun. | en |
| dc.identifier.isbn | 978-1-84919-754-0 | en |
| dc.identifier.issn | - | en |
| dc.identifier.uri | https://research.thea.ie/handle/20.500.12065/1047 | |
| dc.description.abstract | This paper deals with finding optimal structures and redundant safety designs with minimal costs for series-Parallel multi state system (MSS) configurations subject to availability constraints using genetic algorithms as optimisation mean, since these biologically inspired evolution concepts showed stability, powerfulness, and effectiveness in solving such complex combinatorial optimisation tasks. The routine has been written in Matlab and the tests have been performed using some test data belonging to already existing models (Levitin, Lisnianski, and Ouzineb). | en |
| dc.format | Pdf | en |
| dc.language.iso | en | en |
| dc.publisher | Signals and Systems Conference (ISSC 2013), 24th IET Irish | en |
| dc.subject | Genetic algorithms | en |
| dc.subject | Multi state system (MSS) | en |
| dc.subject | Optimisation | en |
| dc.subject | Redundancy allocation problem (RAP) | en |
| dc.subject | Series-parallel systems | en |
| dc.subject | Universal moment generating function (UMGF) | en |
| dc.title | Budgetary and redundancy optimisation of homogeneous series-parallel systems subject to availability constraints using matlab implemented genetic computing | en |
| dc.type | Conference Presentation | en |
| dc.description.peerreview | Yes | en |
| dc.identifier.url | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6621238&punumber%3D6606941%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6620810%29%26pageNumber%3D2 | en |
| dc.subject.department | Science | en |
