Software Project Scheduling Using the Hyper-Cube Ant Colony Optimization Algorithm

dc.authorid johnson, franklin/0000-0003-4522-3809
dc.authorid Misra, Sanjay/0000-0002-3556-9331
dc.authorid Crawford, Broderick/0000-0001-5500-0188
dc.authorscopusid 23395875300
dc.authorscopusid 24403038600
dc.authorscopusid 15520434500
dc.authorscopusid 56962766700
dc.authorscopusid 24773930800
dc.authorscopusid 56239062300
dc.authorwosid johnson, franklin/AAQ-1436-2020
dc.authorwosid Misra, Sanjay/K-2203-2014
dc.contributor.author Crawford, Broderick
dc.contributor.author Soto, Ricardo
dc.contributor.author Johnson, Franklin
dc.contributor.author Misra, Sanjay
dc.contributor.author Paredes, Fernando
dc.contributor.author Olguin, Eduardo
dc.contributor.other Computer Engineering
dc.date.accessioned 2024-07-05T14:32:19Z
dc.date.available 2024-07-05T14:32:19Z
dc.date.issued 2015
dc.department Atılım University en_US
dc.department-temp [Crawford, Broderick; Soto, Ricardo; Johnson, Franklin] Pontificia Univ Catolica Valparaiso, Valparaiso, Chile; [Crawford, Broderick; Olguin, Eduardo] Univ San Sebastian, Recoleta, Chile; [Crawford, Broderick] Univ Cent Chile, Santiago, Chile; [Soto, Ricardo] Univ Autonoma Chile, Santiago, Chile; [Soto, Ricardo] Univ Cient Sur, Lima, Peru; [Johnson, Franklin] Univ Playa Ancha, Valparaiso, Chile; [Misra, Sanjay] Covenant Univ, Dept Comp & Informat Sci, Ota, Nigeria; [Misra, Sanjay] Atilim Univ, TR-06836 Ankara, Turkey; [Paredes, Fernando] Univ Diego Portales, Escuela Ingn Ind, Santiago, Chile en_US
dc.description johnson, franklin/0000-0003-4522-3809; Misra, Sanjay/0000-0002-3556-9331; Crawford, Broderick/0000-0001-5500-0188 en_US
dc.description.abstract This paper introduces a proposal of design of Ant Colony Optimization algorithm paradigm using Hyper-Cube framework to solve the Software Project Scheduling Problem. This NP-hard problem consists in assigning tasks to employees in order to minimize the project duration and its overall cost. This assignment must satisfy the problem constraints and precedence between tasks. The approach presented here employs the Hyper-Cube framework in order to establish an explicitly multidimensional space to control the ant behaviour. This allows us to autonomously handle the exploration of the search space with the aim of reaching encouraging solutions. en_US
dc.description.sponsorship [ONICYT/FONDECYT/REGULAR/1140897]; [CONICYT/FONDECYT/INICIACION/11130459]; [CONICYT/FONDECYT/REGULAR/1130455] en_US
dc.description.sponsorship Broderick Crawford is supported by Grant CONICYT/FONDECYT/REGULAR/1140897. Ricardo Soto is supported by Grant CONICYT/FONDECYT/INICIACION/11130459. Fernando Paredes is supported by Grant CONICYT/FONDECYT/REGULAR/1130455. Franklin Johnson is supported by Postgraduate Grant PUCV 2015. en_US
dc.identifier.citationcount 6
dc.identifier.doi 10.17559/TV-20140519212813
dc.identifier.endpage 1178 en_US
dc.identifier.issn 1330-3651
dc.identifier.issn 1848-6339
dc.identifier.issue 5 en_US
dc.identifier.scopus 2-s2.0-84946059895
dc.identifier.scopusquality Q3
dc.identifier.startpage 1171 en_US
dc.identifier.uri https://doi.org/10.17559/TV-20140519212813
dc.identifier.uri https://hdl.handle.net/20.500.14411/792
dc.identifier.volume 22 en_US
dc.identifier.wos WOS:000363986400012
dc.identifier.wosquality Q4
dc.institutionauthor Mısra, Sanjay
dc.language.iso en en_US
dc.publisher Univ Osijek, Tech Fac en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 11
dc.subject Ant Colony Optimization en_US
dc.subject Hyper-Cube en_US
dc.subject scheduling en_US
dc.subject Software Project Management en_US
dc.title Software Project Scheduling Using the Hyper-Cube Ant Colony Optimization Algorithm en_US
dc.type Article en_US
dc.wos.citedbyCount 7
dspace.entity.type Publication
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