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dc.contributor.authorHettenhausen, Janen_US
dc.contributor.authorLewis, Andrewen_US
dc.contributor.authorMostaghim, Sanazen_US
dc.date.accessioned2017-05-03T12:49:06Z
dc.date.available2017-05-03T12:49:06Z
dc.date.issued2010en_US
dc.date.modified2013-03-19T22:47:58Z
dc.identifier.issn0305215Xen_US
dc.identifier.doi10.1080/03052150903042632en_US
dc.identifier.urihttp://hdl.handle.net/10072/33179
dc.description.abstractThis article introduces an interactive Multi-Objective Particle Swarm Optimization (MOPSO) method that allows a human decision maker to guide the optimization process based on domain-specific knowledge and problem-specific preferences. This article also presents a novel graphical user interface based on heatmap visualization which, combined with the algorithm, greatly reduces the workload on the user, thereby decreasing unwanted side effects caused by human fatigue. The method was evaluated on a set of standard test problems and the results were compared to those of a non-interactive MOPSO method. To simulate domain-specific preferences and knowledge, the decision maker was instructed to focus the search on a specific region of the Pareto-front. The results demonstrate that the proposed method was able to obtain better solutions than the non-interactive MOPSO method in terms of convergence towards the true Pareto-front and the number and spread of focused solutions.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent306766 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherTaylor & Francisen_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationYen_US
dc.relation.ispartofpagefrom119en_US
dc.relation.ispartofpageto139en_US
dc.relation.ispartofissue2en_US
dc.relation.ispartofjournalEngineering Optimizationen_US
dc.relation.ispartofvolume42en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchOptimisationen_US
dc.subject.fieldofresearchComputer Software not elsewhere classifieden_US
dc.subject.fieldofresearchcode010303en_US
dc.subject.fieldofresearchcode080399en_US
dc.titleInteractive multi-objective particle swarm optimization with heatmap-visualization-based user interfaceen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyInformation Services, Information Servicesen_US
gro.rights.copyrightCopyright 2010 Taylor & Francis. This is an electronic version of an article published in Engineering Optimization, Volume 42, Issue 2 February 2010 , pages 119 - 139 . Engineering Optimization is available online at: http://www.informaworld.com with the open URL of your article.en_US
gro.date.issued2010
gro.hasfulltextFull Text


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