This paper proposes an effective algorithm to solve a nurse scheduling problem by using
genetic algorithm (GA). In hospitals, nurses are assigned to any section such as the internal …

This paper proposes an effective mutation operator and an effective parallel processing
algorithm for cooperative genetic algorithm (CGA) to solve a nurse scheduling problem. The …

This paper proposes an effective mutation operator for the cooperative genetic algorithm
(CGA) to solve a nurse scheduling problem. The nurse scheduling is very complex task for a …

This paper proposes effective genetic operators for cooperative genetic algorithm (GA) to
solve a nurse scheduling problem. A clinical director of a medical department makes a duty …

This paper describes a technique of penalty weight adjustment executed in the Cooperative
Genetic Algorithm applied to the nurse scheduling problem. The nurse scheduling is very …

The nurse scheduling problem (NSP) is that of allocating shifts for nurses under various
constraints. Generally, the extensive number of constraints requires a great knowledge and …

In this paper, we propose an effective mutation operators for Cooperative Genetic Algorithm
(CGA) to be applied to a practical Nurse Scheduling Problem (NSP). The nurse scheduling …

This paper proposes an effective parallel algorithm for the cooperative genetic algorithm
(CGA) to solve a nurse scheduling problem. The nurse scheduling is very complex task for a …

This paper describes a technique of penalty weight adjustment for the Cooperative Genetic
Algorithm applied to the nurse scheduling problem. In this algorithm, coefficient and …

This paper proposes effective operators for cooperative genetic algorithm (CGA) to be
applied to a practical nurse scheduling problem. The nurse scheduling is a very complex …