Use of Simulation and Visualization in Multi Criteria Scheduling Optimization with Genetic Algorithms

An approach to the use of simulation and visualization of discrete event oriented simulation models for multi criteria scheduling optimization with genetic algorithms is described. A simulation model was used for fitness function computation of genetic algorithms’ results as well as for visual representation of process behavior of the chosen schedule after genetic algorithm optimization. In this way, with the help of simulation and visualization, an additional verification of schedule’s suitability was done on results of the optimization. Described methodology provides the planner with a quick and efficient scheduling method and enables them to experiment and decide which of suitable solutions will become the production plan.