Genetic shift scheduler
Let
evolution
meet the
requirements
as best as possible
Check on GitHub
Tune the algorithm
Exchange
Allow workers to exchange shifts.
Volunteer
Allow workers to volunteer and help others with higher workload.
Lunch breaks
Ensure breaks and rest by reserving shifts for necessary downtime.
Custom fitness
Choose the fitness function that best suits you, or build your own.
Input
Worker's availability
Easily input employee availability for efficient scheduling.
Required workforce for each activity and shift
Define the exact number of workers needed for each shift effortlessly.
Jupyter Notebook interface
Run evolution
Optimize schedules with one click using advanced genetic algorithms.
Visualize results
Gain insights at a glance with visual representations of your optimized schedules.
Output
Finished schedules for each worker
Each worker receives a tailored, conflict-free schedule for maximum efficiency.