Open AccessA new approach to solving the time-cost trade-off problem based on the genetic algorithm and fuzzy theory
Author(s) -
Nasser Shahsavari Pour,
Arman Ghamginzadeh,
Mansoor Kheradmand
Publication year - 2012
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v1i3.137
Subject(s) - taguchi methods , genetic algorithm , fuzzy logic , computer science , mathematical optimization , set (abstract data type) , fuzzy set , reduction (mathematics) , algorithm , running time , mathematics , artificial intelligence , machine learning , geometry , programming language
Time and cost are two important and controllable objectives in project structures which are considerably dependent on each other. Recently, beneficiaries demands for cost and time reduction in completing a project have been increased. This study proposes a new method for time-cost trade off problem (TCTP) in uncertainty condition. To solve the model a multi objective genetic algorithm has been integrated with fuzzy theory. Efficiency of this algorithm is demonstrated through an existing case example from the literature. Finally to make the algorithm more efficient the existing parameters in the model have been set through Taguchi method.