Using the Genetic algorithm (GA) to find optimization in project completion

Abstract

Time-Cost Trade-off (TCT) analysis is one of the most important aspects of planning and control in construction projects. As a result, TCT technology has emerged and is essential for the completion of projects. The work of this technique is to employ the lowest cost resources necessary and possible. In order to accomplish project activities in the shortest time through planning, scheduling and monitoring by using project management software using MS Project, the total cost of the project can be reduced by using less expensive resources for non-critical activities without affecting the project completion time (TCT) focuses mainly on the use of inference or mathematical programming. These methods, however, are not yet effective enough to solve and address large-scale network problems (CPM) with multiple and multiple activities. Therefore, transgenic natural selection and genetics in cloning may It has been successfully used to solve many problems of science and engineering and has proven to be an effective way to search for optimal solutions in the field of large and complex problems. This research provides an algorithm based on the principle of (Gas) algorithms to find optimization Projects using the program (MS Project).