TY - GEN
T1 - A novel simulated metamorphosis algorithm for homecare nurse scheduling
AU - Mutingi, M.
AU - Mbohwa, C.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Simulated Metamorphosis
KW - fuzzy evaluation
KW - home healthcare
KW - nurse scheduling
UR - http://www.scopus.com/inward/record.url?scp=84988228146&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2014.7058657
DO - 10.1109/IEEM.2014.7058657
M3 - Conference contribution
AN - SCOPUS:84988228146
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 345
EP - 349
BT - IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014
Y2 - 9 December 2014 through 12 December 2014
ER -