TY - JFULL AU - Elsheikh Asser PY - 2014/1/ TI - Genetic Algorithms Multi-Objective Model for Project Scheduling T2 - International Journal of Civil and Environmental Engineering SP - 1445 EP - 1449 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9999947 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 96, 2014 N2 - Time and cost are the main goals of the construction project management. The first schedule developed may not be a suitable schedule for beginning or completing the project to achieve the target completion time at a minimum total cost. In general, there are trade-offs between time and cost (TCT) to complete the activities of a project. This research presents genetic algorithms (GAs) multiobjective model for project scheduling considering different scenarios such as least cost, least time, and target time. ER -