TY - JOUR N2 - Underground spaces having features such as stability, resistance, and being undetected can play a key role in reducing vulnerability by relocating infrastructures and manpower. In recent years, the competitive business environment and limited resources have mostly focused on the importance of project management in order to achieve its objectives. In this research, in order to find the best balance among cost, time, and quality related to construction projects using reinforced concrete in underground structures, a multi-objective mathematical model is proposed. Several executive approaches have been considered for project activities and these approaches are analyzed via several factors. It is assumed that cost, time, and quality of activities in every defined approach can vary between compact and normal values, and the goal is to find the best execution for activities, achieving minimum cost and the maximum quality for the project. To solve the proposed multi-objective model, the genetic algorithm NSGA-II is used. L1 - http://www.journals.pan.pl/Content/115482/PDF/103-121_ace-2017-0043.pdf L2 - http://www.journals.pan.pl/Content/115482 PY - 2017 IS - No 4 EP - 121 KW - Underground structures KW - Project management KW - Balance of cost KW - time and quality KW - Meta-Heuristic KW - Geneticalgorithm A1 - Hosseini, S.A. A1 - Akbarpour, A. A1 - Ahmadi, H. A1 - Aminnejad, B. PB - WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES DA - 15.12.2017 T1 - Balance of cost, time, and quality related to construction projects regarding the reinforced concrete of underground structures using a meta-heuristic algorithm SP - 103 UR - http://www.journals.pan.pl/dlibra/publication/edition/115482 T2 - Archives of Civil Engineering ER -