dc.contributor.author | Hoque, Md Tamjidul | |
dc.contributor.author | Chetty, Madhu | |
dc.contributor.author | Lewis, Andrew | |
dc.contributor.author | Sattar, Abdul | |
dc.date.accessioned | 2018-03-02T12:30:59Z | |
dc.date.available | 2018-03-02T12:30:59Z | |
dc.date.issued | 2011 | |
dc.date.modified | 2011-06-16T06:01:50Z | |
dc.identifier.issn | 1545-5963 | |
dc.identifier.doi | 10.1109/TCBB.2009.34 | |
dc.identifier.uri | http://hdl.handle.net/10072/39141 | |
dc.description.abstract | This paper presents the impact of twins and the measures for their removal from the population of genetic algorithm (GA) when applied to effective conformational searching. It is conclusively shown that a twin removal strategy for a GA provides considerably enhanced performance when investigating solutions to complex ab initio protein structure prediction (PSP) problems in low resolution model. Without twin removal, GA crossover and mutation operations can become ineffectual as generations lose their ability to produce significant differences which can lead to the solution stalling. The paper relaxes the definition of chromosomal twins in the removal strategy to not only encompass identical, but also highly-correlated chromosomes within the GA population, with empirical results consistently exhibiting significant improvements solving PSP problems. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 571316 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.publisher.place | United States | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofpagefrom | 234 | |
dc.relation.ispartofpageto | 245 | |
dc.relation.ispartofissue | 1 | |
dc.relation.ispartofjournal | IEEE/ACM Transactions on Computational Biology and Bioinformatics | |
dc.relation.ispartofvolume | 8 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Mathematical sciences | |
dc.subject.fieldofresearch | Biological mathematics | |
dc.subject.fieldofresearch | Biological sciences | |
dc.subject.fieldofresearch | Information and computing sciences | |
dc.subject.fieldofresearchcode | 49 | |
dc.subject.fieldofresearchcode | 490102 | |
dc.subject.fieldofresearchcode | 31 | |
dc.subject.fieldofresearchcode | 46 | |
dc.title | Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.faculty | Griffith Sciences, School of Information and Communication Technology | |
gro.rights.copyright | © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
gro.date.issued | 2011 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Sattar, Abdul | |
gro.griffith.author | Lewis, Andrew J. | |