نوع مقاله : مقاله پژوهشی
1 گروه عمران دانشگاه صنعتی نوشیروانی بابل
2 گروه مدیریت پروژه و ساخت دانشگاه تربیت مدرس تهران
3 گروه صنایع دانشگاه علوم و فنون مازندران
4 گروه عمران دانشگاه آزاد اسلامی واحد اراک
عنوان مقاله [English]
In how to balance time and cost is crucial to construction project management. The main specification of time-cost trade off problem is discretization of the decision space to limited and accountable decision variables. In this situation the efficiency of the traditional methods decrease and applying of the evolutionary algorithm is necessary. The clever use of evolutionary algorithms allows us to solve many interesting and difficult problems and our ability to model complex problems increases tremendously. In this article use multi objective particle swarm optimization to solve two construction project management problems. These two projects include 7 and 70 activities with multiple modes. These problems are both in discrete domain including two objectives, separately. In this regard, some procedures has been suggested with solving by optimization algorithm. The developed optimization algorithm has been designed to find the best sequence and mode of operation, making it the shortest time and cost. Results show the advantages and effectiveness of the used procedures in repeating the optimal Pareto for optimization problems.