Abstract
Home healthcare worker scheduling is a hard
combinatorial problem concerned with the allocation of care
tasks to healthcare givers at a minimal cost while considering
healthcare service quality by striving to meet the time window
restrictions specified by the patients. This paper proposes a
group genetic algorithm (GGA) for addressing the scheduling
problem. The approach utilizes the strengths of unique group
genetic operators to effectively and efficiently address the
group structure of the problem, providing good solutions
within reasonable computation times. Computational results
obtained show that the GGA approach is effective.