@inproceedings{ElRayesKandil2004,
  author    = {El-Rayes, Khaled and Kandil, Amr},
  title     = {Distributed Computing for the Optimization of Large-Scale Construction Projects},
  doi       = {10.25643/bauhaus-universitaet.160},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-1601},
  year      = {2004},
  abstract  = {Available construction time-cost trade-off analysis models can be used to generate trade-offs between these two important objectives, however, their application is limited in large-scale construction projects due to their impractical computational requirements. This paper presents the development of a scalable and multi-objective genetic algorithm that provides the capability of simultaneously optimizing construction time and cost large-scale construction projects. The genetic algorithm was implemented in a distributed computing environment that utilizes a recent standard for parallel and distributed programming called the message passing interface (MPI). The performance of the model is evaluated using a set of measures of performance and the results demonstrate the capability of the present model in significantly reducing the computational time required to optimize large-scale construction projects.},
  subject      = {Baubetrieb},
  language  = {en}
}