This study proposes two heuristic algorithms, which are the decision tree method and the greedy search algorithm, to integrate with metaheuristic algorithms.

Developing two heuristic algorithms with metaheuristic algorithms to improve solutions of optimization problems with soft and hard constraints: An application�...

Nurse rostering problem (NRP) is the research problem in this paper. This study proposes two heuristic algorithms, which are the decision tree method and the�...

Developing two heuristic algorithms with metaheuristic algorithms to improve solutions of optimization problems with soft and hard constraints: An�...

Sep 1, 2020 � This study investigates the Nurse Rostering Problem (NRP) which is one of the most difficult problems in the timetabling areas.

Several researchers have focused on optimization problems with soft and hard ... hard constraints: An application to nurse rostering problems, Applied Soft�...

Abstract—Scheduling plays a crucial role in allocating re- sources to tasks in various domains, including healthcare. Nurse scheduling, in particular�...

Jun 16, 2022 � This study aimed to develop an automatic nurse roster scheduling system with the use of open-source operational research tools

Meta-heuristic approaches which are able to produce solutions of good quality for difficult combinatorial optimization problems within a reasonable�...

Dec 27, 2019 � The aim of this paper is to present new hybrid strategy for nurse NRRP problem. The proposed methodology is based on efficient cooperation between fuzzy logic.