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AuthorSenouci, Ahmed B.
AuthorAl-Derham, H.R.
Available date2009-12-28T07:54:54Z
Publication Date2007-08-15
Publication NameAdvances in Engineering Software
Identifierhttp://dx.doi.org/10.1016/j.advengsoft.2007.08.002
CitationAhmed Senouci, Hassan R. Al-Derham, Genetic algorithm-based multi-objective model for scheduling of linear construction projects, Advances in Engineering Software, Volume 39, Issue 12, December 2008, Pages 1023-1028
URIhttp://hdl.handle.net/10576/10518
AbstractThis paper presents a genetic algorithm-based multi-objective optimization model for the scheduling of linear construction projects. The model allows construction planners to generate and evaluate optimal/near-optimal construction scheduling plans that minimize both project time and cost. The computations in the present model are organized in three major modules. A scheduling module that develops practical schedules for linear construction projects. A cost module that computes the project's costs. A multi-objective module that searches for and identifies optimal/near-optimal tradeoffs between project time and cost. An application example is analyzed to illustrate the use of the model and to demonstrate its capabilities in optimizing the scheduling of linear construction projects.
Languageen
PublisherElsevier Ltd
SubjectCost control
SubjectGenetic algorithms
SubjectInformation technology (IT)
SubjectLinear construction projects
SubjectMulti-objective optimization
SubjectScheduling
TitleGenetic algorithm-based multi-objective model for scheduling of linear construction projects
TypeArticle


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