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The methods currently used for scheduling building processes have some major advantages as well as disadvantages. The main advantages are the arrangement of the tasks of a project in a clear, easily readable form and the calculation of valuable information like critical paths. The main disadvantage on the other hand is the inflexibility of the model caused by the modeling paradigms. Small changes of the modeled information strongly influence the whole model and lead to the need to change many more details in the plan. In this article an approach is introduced allowing the creation of more flexible schedules. It aims towards a more robust model that lowers the need to change more than a few information while being able to calculate the important propositions of the known models and leading to further valuable conclusions.
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.
Applications for civil engineering tasks usually contain graphical user interfaces for the engineering processes. Persistent objects of the applications are stored to data bases. The influence of the interaction between a graphical user interface and a data base for the development of an civil engineering application is investigated in this paper. A graphic application for the linear elastic analysis of plane frames, which was previously developed with standard tools of the Java platform, is compared to a redesigned implementation using a generalized data base for persistent objects. The investigation leads to the following results : - A strict distinction between persistent and transient objects influences the class structure of an application, in particular the class structure of a graphical user interface. - The structure of an application depends on the logic for updating of references to persistent and transient graphical objects after an application is read from a file. - The complexity of the reference management can usually be handled better by just in time referencing associated with String - identifiers rather than by automated referencing associated with Name - identifiers.