Application of Forest Optimization Algorithm for the Resource Constraint Project Scheduling

Project scheduling is one of the most complex yet important issues in project-based planning. Scheduling is a topic that has entered the project from the production space and has been considered by many researchers in recent years. This problem has always faced many challenges due to its complex limitations in the real world. One of these issues is resource scheduling, known in optimization as the RCPSP problem. The study's main aim is to investigate the application of a forest optimization algorithm for resource constraint project scheduling. In this research, the RCPSP problem is optimized. A mathematical model is then proposed and then optimized using meteorological algorithms for forest optimization and refrigeration simulation. A hybrid meta-algorithm has also been developed for this document. Examination and comparisons of this algorithm show that the proposed method has the necessary efficiency both in terms of speed and quality of solutions.