Multiple Resource Constraint Time-Cost-Resource Optimization Using Genetic Algorithm

Simultaneous optimization of time, cost, and utilized resources in a construction project is vital. This paper presents a GA based model for determination of the best combination of the time, cost, and resources in a multiple resource constraint problem. The proposed model considers both resource allocation and leveling simultaneously. Since the problem is assumed to be resource constraint, resource allocations modify the schedules based on multiple resource restrictions. Besides, the basic concept of resource leveling, minimization of Mx (X-moment of resource histogram) is used to minimize resource fluctuation. In addition to Mx, the paper uses My (Y-moment of resource histogram) in resource leveling process because simultaneous application of them improves it to take into consideration the resource utilization period. The paper uses weighted sum method for handling multi-objective optimization problem. Performance of the model is illustrated using a simple example project.