Solving Nurse Rostering Problem Using Ant Colony Optimization Approach
- Lokare Pooja S, Mahind Rupali N
Staff scheduling is found as a crucial part of staff management. Every scheduling problem is different from each other when considering the various constraints, which leads to the staff scheduling problem becoming more complex. This paper deals with Genetic Algorithm (GA) approach to solve a specific Staff Scheduling Problem. The schedules are planned for 4 weeks with 30 numbers of nurses in the ward and each working day consists of 5 different shift types. Penalty is presented to indicate the level of importance for the constraints involved that are hard constraints and soft constraints. For solving the problem of scheduling, GUI is being introduced for the user friendly approach through MATLAB Version 7.10.