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A Multi-objective Model for Optimizing Construction Planning of Repetitive Infrastructure Projects

  • This paper presents the development of a model for optimizing resource utilization in repetitive infrastructure projects. The model provides the capability of simultaneous minimization of both project duration and work interruptions for construction crews. The model provides in a single run, a set of nondominated solutions that represent the tradeoff between these two objectives. The modelThis paper presents the development of a model for optimizing resource utilization in repetitive infrastructure projects. The model provides the capability of simultaneous minimization of both project duration and work interruptions for construction crews. The model provides in a single run, a set of nondominated solutions that represent the tradeoff between these two objectives. The model incorporates a multiobjective genetic algorithm and scheduling algorithm. The model initially generates a randomly selected set of solutions that evolves to a near optimal set of tradeoff solutions in subsequent generations. Each solution represents a unique scheduling solution that is associated with certain project duration and a number of interruption days for utilized construction crews. As such, the model provides project planners with alternative schedules along with their expected duration and resource utilization efficiency.zeige mehrzeige weniger

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Metadaten
Dokumentart:Artikel (Wissenschaftlicher)
Verfasserangaben: Khaled El-Rayes, Khalied Hyari
DOI (Zitierlink):https://doi.org/10.25643/bauhaus-universitaet.213Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20111215-2135Zitierlink
Sprache:Englisch
Datum der Veröffentlichung (online):16.11.2004
Jahr der Erstveröffentlichung:2004
Datum der Freischaltung:16.11.2004
Institute und Partnereinrichtugen:Fakultät Bauingenieurwesen / Professur Informatik im Bauwesen
GND-Schlagwort:Mehragentensystem; Lernendes System; Infrastruktur
Quelle:International Conference on Computing in Civil and Building Engineering , ICCCBE , 10 , 2004.06.02-04 , Weimar , Bauhaus-Universität
DDC-Klassifikation:600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
BKL-Klassifikation:54 Informatik / 54.89 Angewandte Informatik: Sonstiges
56 Bauwesen / 56.03 Methoden im Bauingenieurwesen
Sammlungen:Bauhaus-Universität Weimar / International Conference on Computing in Civil and Building Engineering, ICCCBE, Weimar / International Conference on Computing in Civil and Building Engineering, ICCCBE, Weimar 10. 2004
Lizenz (Deutsch):License Logo In Copyright