Solving the Software Project Scheduling Problem Using Intelligent Water Drops

dc.authoridMisra, Sanjay/0000-0002-3556-9331
dc.authoridRubio, Jose-Miguel/0000-0003-0377-4397
dc.authorscopusid23395875300
dc.authorscopusid24403038600
dc.authorscopusid57189029937
dc.authorscopusid7202237871
dc.authorscopusid24773930800
dc.authorscopusid56962766700
dc.authorscopusid56962766700
dc.authorwosidRubio, José-Miguel/J-3682-2017
dc.authorwosidMisra, Sanjay/K-2203-2014
dc.contributor.authorMısra, Sanjay
dc.contributor.authorSoto, Ricardo
dc.contributor.authorAstorga, Gino
dc.contributor.authorCastro, Carlos
dc.contributor.authorParedes, Fernando
dc.contributor.authorMisra, Sanjay
dc.contributor.authorRubio, Jose-Miguel
dc.contributor.otherComputer Engineering
dc.date.accessioned2024-07-05T15:27:29Z
dc.date.available2024-07-05T15:27:29Z
dc.date.issued2018
dc.departmentAtılım Universityen_US
dc.department-temp[Crawford, Broderick; Soto, Ricardo; Astorga, Gino] Pontificia Univ Catolica Valparaiso, Ave Brasil 2950, Valparaiso, Chile; [Astorga, Gino] Univ Valparaiso, Prat 856, Valparaiso, Chile; [Castro, Carlos] Univ Tecn Federico Santa Maria, Ave Espana 1680, Valparaiso, Chile; [Paredes, Fernando] Univ Diego Portales, Escuela Ingn Ind, Manuel Rodriguez Sur 415, Santiago, Chile; [Misra, Sanjay] Covenant Univ, Dept Comp & Informat Sci, Ota, Nigeria; [Misra, Sanjay] Atilim Univ, TR-06836 Ankara, Turkey; [Rubio, Jose-Miguel] Univ Tecnol Chile INACAP, Brown Norte 260, Nunoa, Chileen_US
dc.descriptionMisra, Sanjay/0000-0002-3556-9331; Rubio, Jose-Miguel/0000-0003-0377-4397en_US
dc.description.abstractWithin the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented.en_US
dc.description.sponsorshipPostgraduate Grant PUCV; [CONICYT/FONDECYT/REGULAR/1171243]; [CONICYT/FONDECYT/REGULAR/1160455]en_US
dc.description.sponsorshipBroderick Crawford is supported by Grant CONICYT/FONDECYT/REGULAR/1171243. Ricardo Soto is supported by Grant CONICYT/FONDECYT/REGULAR/1160455. Gino Astorga is supported by Postgraduate Grant PUCV 2015.en_US
dc.identifier.citation5
dc.identifier.doi10.17559/TV-20160629224348
dc.identifier.endpage357en_US
dc.identifier.issn1330-3651
dc.identifier.issn1848-6339
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85045935550
dc.identifier.scopusqualityQ3
dc.identifier.startpage350en_US
dc.identifier.urihttps://doi.org/10.17559/TV-20160629224348
dc.identifier.urihttps://hdl.handle.net/20.500.14411/2675
dc.identifier.volume25en_US
dc.identifier.wosWOS:000430936800007
dc.identifier.wosqualityQ4
dc.language.isoenen_US
dc.publisherUniv Osijek, Tech Facen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectcombinational optimizationen_US
dc.subjectcomputational intelligenceen_US
dc.subjectintelligent water dropsen_US
dc.subjectmetaheuristicsen_US
dc.subjectsoftware project scheduling problemen_US
dc.titleSolving the Software Project Scheduling Problem Using Intelligent Water Dropsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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