DocumentCode :
3576566
Title :
A novel simulated metamorphosis algorithm for homecare nurse scheduling
Author :
Mutingi, M. ; Mbohwa, C.
Author_Institution :
Sch. of Eng., Namibia Univ. of Sci. & Technol., Windhoek, Namibia
fYear :
2014
Firstpage :
345
Lastpage :
349
Abstract :
Inspired by the biological concepts of metamorphosis evolution, this paper presents a novel simulated metamorphosis (SM) algorithm for solving the homecare nurse scheduling problem in a fuzzy environment. The algorithm is motivated by the need for interactive, multi-objective, and efficient optimization approaches to solving problems with fuzzy conflicting goals and constraints. The SM goes through initialization, growth, and maturation phases, mimicking the metamorphosis process. Initialization generates a candidate solution which successively goes through growth and maturation loops. Comparative computational tests on benchmark problems show that, when compared to other algorithms, SM is more efficient and effective, producing near-optimal solutions within reasonable computation times.
Keywords :
fuzzy set theory; health care; optimisation; scheduling; simulation; SM; fuzzy environment; homecare nurse scheduling; optimization approach; simulated metamorphosis algorithm; Algorithm design and analysis; Biochemistry; Genetic algorithms; Insects; Medical services; Optimization; Scheduling; Simulated Metamorphosis; fuzzy evaluation; home healthcare; nurse scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
Type :
conf
DOI :
10.1109/IEEM.2014.7058657
Filename :
7058657
Link To Document :
بازگشت