Resource allocation using metaheuristic search

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aut.conference.typePaper Published in Proceedings
aut.relation.endpage364
aut.relation.startpage353
aut.researcherConnor, Andrew Miles
dc.contributor.authorConnor, AM
dc.contributor.authorShah, A
dc.contributor.editorWyld, D
dc.contributor.editorMeghanathan, N
dc.contributor.editorNagamali, D
dc.date.accessioned2014-04-10T07:50:13Z
dc.date.available2014-04-10T07:50:13Z
dc.date.copyright2014-03-03
dc.date.issued2014-03-03
dc.description.abstractThis research is focused on solving problems in the area of software project management using metaheuristic search algorithmsand as such is research in the field of search based software engineering. The main aim of this research is to evaluate the performance of different metaheuristic search techniques in resource allocation and scheduling problems that would be typical of software development projects.This paper reports a set of experiments which evaluate the performance of three algorithms, namely simulated annealing, tabu search and genetic algorithms. The experimental results indicate that all of themetaheuristics search techniques can be used to solve problems in resource allocation an d scheduling within a software project. Finally, a comparative analysis suggests that overa ll the genetic algorithm had performed better than simulated annealing and tabu search.
dc.identifier.citationFourth International Conference on Computer Science & Information Technology held at Pullman Hotel, Sydney, 2014-02-21 to 2014-02-22, pp.353 - 364
dc.identifier.doi10.5121/csit.2014.4230
dc.identifier.isbn978-1-921987-27-4
dc.identifier.issn2231-5403
dc.identifier.urihttps://hdl.handle.net/10292/7078
dc.publisherAcademy & Industry Research Collaboration Center (AIRCC) Publishing Corporation
dc.rightsComputer Science & Information Technology (CS & IT) is an open access-Computer Science Conference Proceedings (CSCP) series welcomes conferences to publish their proceedings / post conference proceedings.
dc.rights.accessrightsOpenAccess
dc.subjectEvolutionary computing
dc.subjectGenetic algorithms
dc.subjectSimulated annealing
dc.subjectTabu search
dc.subjectResource allocation
dc.subjectScheduling
dc.subjectProject management
dc.subjectSearch based software engineering
dc.titleResource allocation using metaheuristic search
dc.typeConference Contribution
pubs.elements-id163595
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/Interdisplinary Unit
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