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A Memetic Algorithm for a Bi-objective Bus Driver Rostering Problem

dc.contributor.authorRespício, Ana
dc.contributor.authorMoz, Margarida
dc.contributor.authorPato, Margarida Vaz
dc.date.accessioned2009-11-05T15:59:21Z
dc.date.available2009-11-05T15:59:21Z
dc.date.issued2007
dc.description.abstractThe Bus Driver Rostering Problem (DRP) consists of assigning bus drivers to daily duties during a planning period. The problem considers hard constraints imposed by institutional and legal requirements. Solutions should as much as possible satisfy soft constraints that qualify rosters according to either the company's or the drivers' interests. A bi-objective version of the DRP is considered and two models are presented. Due to the high computational complexity of DRP, this paper proposes the Strength Pareto Utopic Memetic Algorithm (SPUMA) a new heuristic algorithm specially devised to tackle the problem. SPUMA genetic component combines utopic elitism with a strength Pareto fitness evaluation and includes an improvement procedure. Computational results show that SPUMA outperforms an adaptation of one of the state-of-the-art most competitive multi-objective evolutionary algorithms, SPEA2.pt
dc.identifier.citationRespício, Ana, Margarida Moz e Margarida Vaz Pato. 2007. "A Memetic Algorithm for a Bi-objective Bus Driver Rostering Problem". Universidade de Lisboa – Centro de Investigação Operacional - CIO Working paper nº 13/2007pt
dc.identifier.urihttp://hdl.handle.net/10400.5/1432
dc.language.isoengpt
dc.publisherCentro de Investigação Operacional - Universidade de Lisboapt
dc.relation.ispartofseriesCIO Working paper;13/2007
dc.subjecturban transit planningpt
dc.subjectbus rosteringpt
dc.subjectmulti-objective evolutionary algorithmpt
dc.subjectmemetic algorithmpt
dc.titleA Memetic Algorithm for a Bi-objective Bus Driver Rostering Problempt
dc.typeworking paper
dspace.entity.typePublication
rcaap.rightsopenAccesspt
rcaap.typeworkingPaperpt

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