Particle swarm optimization for multi resource constrained project scheduling problem with varying resource levels and weighted earliness tardiness

This paper deals with particle swarm optimization for multi resource constrained project scheduling problem with varying resource levels (MRCPSPVRL) and it incorporated applies weighted earliness tardiness in the problem. In a project scheduling problem, there are many activities with successor, predecessor relations, also they have certain durations and resource requests. In realistic project scheduling problems, different types of resources are used to implement the task. MRCPSPVRL uses various types of resources by changing resource levels in a predetermined manner. Maximum time necessary for completing the task in MRCPSPVRL is divided into different time periods, which resources are varied within these different time periods. The main objective of Project Scheduling Problem is to find an optimum time schedule by considering all constraints. The problem is tested using particle swarm optimization on MATLAB R۲۰۲۰b. this paper extends the work done by Jiby Joy, Srijith Rajeev, Eldhose C, Abraham [۱].

Keywords:

Particle swarm optimisation , Resource constrained project scheduling , Varying resource levels , Weighted earliness tardiness