Optimization of Construction Projects Scheduling Using Primavera and Genetic Algorithm

Abstract

Resource allocation and leveling are among the top challenges in project management, due to the complexity of projects. The main objective of this project is to optimize the schedule of construction project activities in order to minimize the total cost with resource constraints using Genetic Algorithm (GA optimization technique). This work describes a genetic algorithm approach to Resource Constraint Project Scheduling Problems (RCPSP) in construction industry. The GA procedure searches for an optimum set of tasks and priorities that produce shorter project duration and better-leveled resource profiles using Evolver software. Major advantage of the procedure is its simple applicability within commercial project management software systems to improve the performance.