TY - GEN
T1 - Resolving the manufacturing cell design problem using the flower pollination algorithm
AU - SOTO DE GIORGIS, RICARDO JAVIER
AU - CRAWFORD LABRIN, BRODERICK
AU - Olivares, Rodrigo
AU - De Conti, Michele
AU - Rubio, Ronald
AU - Almonacid, Boris
AU - Niklander, Stefanie
PY - 2016/1/1
Y1 - 2016/1/1
N2 - The Manufacturing cell design problem focuses on the creation of an optimal distribution of the machinery on a productive plant, through the creation of highly independent cells where the parts of certain products are processed. The main objective is to reduce the movements between this cells, decreasing production times, costs and getting other advantages. To find solutions to this problem, in this paper, the usage of the Flower Pollination Algorithm is proposed, which is one of the many nature-based algorithms, which in this case is inspired in the Pollination of the flowers, and has shown great capacities in the resolution of complex problems. Experimental results are shown, with 90 instances taken from Boctor’s experiments, where the optimum is achieved in all them.
AB - The Manufacturing cell design problem focuses on the creation of an optimal distribution of the machinery on a productive plant, through the creation of highly independent cells where the parts of certain products are processed. The main objective is to reduce the movements between this cells, decreasing production times, costs and getting other advantages. To find solutions to this problem, in this paper, the usage of the Flower Pollination Algorithm is proposed, which is one of the many nature-based algorithms, which in this case is inspired in the Pollination of the flowers, and has shown great capacities in the resolution of complex problems. Experimental results are shown, with 90 instances taken from Boctor’s experiments, where the optimum is achieved in all them.
KW - Flower pollination algorithm
KW - Manufacturing cell design problem
KW - Metaheuristics
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85007170251&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-49397-8_16
DO - 10.1007/978-3-319-49397-8_16
M3 - Conference contribution
AN - SCOPUS:85007170251
SN - 9783319493961
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 184
EP - 195
BT - Multi-disciplinary Trends in Artificial Intelligence - 10th International Workshop, MIWAI 2016, Proceedings
A2 - Stolzenburg, Frieder
A2 - Nayak, Abhaya
A2 - Lin, Fangzhen
A2 - Sombattheera, Chattrakul
PB - Springer Verlag
Y2 - 7 December 2016 through 9 December 2016
ER -