@inproceedings{673c600fc3f444d89161a65d62856817,
title = "Hybridization of PSO and a discrete position update scheme techniques for manufacturing cell design",
abstract = "This paper proposes an hybrid algorithm for Manufacturing Cell Formation. The two techniques that are combined to address this problem correspond to Particle Swarm Optimization (PSO) and a Data Mining Clustering application. The criterion used to group the machines in cells is based on the minimization of inter-cell movements. A maximum cell size is imposed and the number of cell is parameterizable. Some published exact results have been used as benchmarks to assess the proposed algorithm. The computational results show that the proposed algorithm is able to find the optimal solutions on almost all instances with low variability and stability.",
keywords = "Machine grouping, Manufacturing cells, Particle swarm optimization",
author = "Orlando Duran and Nibaldo Rodriguez and Consalter, {Luiz Airton}",
year = "2008",
doi = "10.1007/978-3-540-88636-548",
language = "English",
isbn = "3540886354",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "503--512",
booktitle = "MICAI 2008",
note = "7th Mexican International Conference on Artificial Intelligence, MICAI 2008 ; Conference date: 27-10-2008 Through 31-10-2008",
}