Full metadata record
DC FieldValueLanguage
dc.contributor.authorChen, Ta-Chengen_US
dc.contributor.authorLee, An-Chenen_US
dc.contributor.authorHuang, Shih-Lunen_US
dc.date.accessioned2015-12-02T02:59:40Z-
dc.date.available2015-12-02T02:59:40Z-
dc.date.issued2015-10-01en_US
dc.identifier.issn0307-904Xen_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.apm.2015.04.025en_US
dc.identifier.urihttp://hdl.handle.net/11536/128432-
dc.description.abstractElevators are the essential transportation tools in high buildings so that elevator group control system (EGCS) is developed to dynamically layout the schedule of elevators in a group. In this study, a fuzzy cognitive map (FCM) based computation approach by using particle swarm optimization (PSO) has been applied for estimating the minimum required elevators in EGCS so as to minimize the electricity consumption with predefined service quality. In literature, most of the studies were mostly focused on the scheduling strategy in order to have more efficient elevator dispatching or energy saving. However, the minimum numbers of elevators should be activated to sustain the required service quality. In other words, the maximum average waiting time for customers should be less than the predefined length of time while the minimum numbers of elevators are working in EGCS. The experimental results show that the performance of the proposed FCM based approach is feasible to estimate the required power consumption and average waiting time so as to decide the optimal numbers of elevators in EGCS. (C) 2015 Elsevier Inc. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectElevator group control systemen_US
dc.subjectFuzzy cognitive mapen_US
dc.subjectParticle swarm optimizationen_US
dc.titleFCM based hybrid evolutionary computation approach for optimization power consumption by varying cars in EGCSen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.apm.2015.04.025en_US
dc.identifier.journalAPPLIED MATHEMATICAL MODELLINGen_US
dc.citation.volume39en_US
dc.citation.issue19en_US
dc.citation.spage5917en_US
dc.citation.epage5924en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000362609000017en_US
dc.citation.woscount0en_US
Appears in Collections:Articles