In construction projects, reduction of time and cost of any project are very important aspect. Many researchers aimed
to develop time cost trade-off models for the success of construction projects. This is a challenging task in the construction field
because of uncertainties which affect the project cost. In the construction project’s the main objectives are to reduce the time and
cost of the project with increasing the productivity of the construction work. Different hybrid methods of multi objective
optimization such as genetic algorithm, particle swarm optimization, ant colony optimization have been broadly used for the
study of time-cost trade-off problems. In this study a new approach the simulated annealing algorithm is used to solve the timecost trade-off problem by using MATLAB software to code the mathematical problem. Besides, a case study is used to
demonstrate the applicability of proposed model. Furthermore, this paper also provide some recommendations to reduce the
completion time and cost .
