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dc.contributor.authorOhira, Ryoma
dc.contributor.authorIslam, Md Saiful
dc.date.accessioned2020-04-20T23:50:14Z
dc.date.available2020-04-20T23:50:14Z
dc.date.issued2019
dc.identifier.isbn9781728126166
dc.identifier.doi10.1109/pdcat46702.2019.00063
dc.identifier.urihttp://hdl.handle.net/10072/393286
dc.description.abstractMaintaining population diversity is critical to the performance of a Genetic Algorithm (GA). Applying appropriate strategies for measuring population diversity is important in order to ensure that the mechanisms for controlling population diversity are provided with accurate feedback. Sequence-wise approaches to measuring population diversity have demonstrated their effectiveness in assisting with maintaining population diversity for ordered problems, however these processes increase the computational costs for solving ordered problems. Research in distributed GAs have demonstrated how applying different distribution models can affect an GA's ability to scale and effectively search the solution space. This paper proposes a distributed GA with adaptive parameter controls for solving ordered problems such as the travelling salesman problem(TSP), capacitated vehicle routing problem (CVRP) and the job-shop scheduling problem (JSSP). Extensive experimental results demonstrate the superiority of the proposed approach.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencename20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2019)
dc.relation.ispartofconferencetitle2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)
dc.relation.ispartofdatefrom2019-12-05
dc.relation.ispartofdateto2019-12-07
dc.relation.ispartoflocationGold Coast, Australia
dc.relation.ispartofpagefrom308
dc.relation.ispartofpageto313
dc.subject.fieldofresearchDistributed Computing
dc.subject.fieldofresearchcode0805
dc.titleA Distributed Genetic Algorithm with Adaptive Diversity Maintenance for Ordered Problems
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationOhira, R; Islam, MS, A Distributed Genetic Algorithm with Adaptive Diversity Maintenance for Ordered Problems, 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2019
dc.date.updated2020-04-20T23:48:56Z
gro.hasfulltextNo Full Text
gro.griffith.authorIslam, Saiful
gro.griffith.authorOhira, Ryoma J.


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    Contains papers delivered by Griffith authors at national and international conferences.

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