Directed Bee Colony Optimization Algorithm to Solve the Nurse Rostering Problem
Joint Authors
Rajeswari, M.
Amudhavel, J.
Pothula, Sujatha
Dhavachelvan, P.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-26, 26 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-04
Country of Publication
Egypt
No. of Pages
26
Main Subjects
Abstract EN
The Nurse Rostering Problem is an NP-hard combinatorial optimization, scheduling problem for assigning a set of nurses to shifts per day by considering both hard and soft constraints.
A novel metaheuristic technique is required for solving Nurse Rostering Problem (NRP).
This work proposes a metaheuristic technique called Directed Bee Colony Optimization Algorithm using the Modified Nelder-Mead Method for solving the NRP.
To solve the NRP, the authors used a multiobjective mathematical programming model and proposed a methodology for the adaptation of a Multiobjective Directed Bee Colony Optimization (MODBCO).
MODBCO is used successfully for solving the multiobjective problem of optimizing the scheduling problems.
This MODBCO is an integration of deterministic local search, multiagent particle system environment, and honey bee decision-making process.
The performance of the algorithm is assessed using the standard dataset INRC2010, and it reflects many real-world cases which vary in size and complexity.
The experimental analysis uses statistical tools to show the uniqueness of the algorithm on assessment criteria.
American Psychological Association (APA)
Rajeswari, M.& Amudhavel, J.& Pothula, Sujatha& Dhavachelvan, P.. 2017. Directed Bee Colony Optimization Algorithm to Solve the Nurse Rostering Problem. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-26.
https://search.emarefa.net/detail/BIM-1141048
Modern Language Association (MLA)
Rajeswari, M.…[et al.]. Directed Bee Colony Optimization Algorithm to Solve the Nurse Rostering Problem. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-26.
https://search.emarefa.net/detail/BIM-1141048
American Medical Association (AMA)
Rajeswari, M.& Amudhavel, J.& Pothula, Sujatha& Dhavachelvan, P.. Directed Bee Colony Optimization Algorithm to Solve the Nurse Rostering Problem. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-26.
https://search.emarefa.net/detail/BIM-1141048
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141048