@inproceedings{ccafc780b48745c4b357991131b8d093,
title = "A PSO-based clustering algorithm for manufacturing cell design",
abstract = "Since the last years different metaheuristic methods have been used to solve clustering problems. This paper addresses the problem of manufacturing Cell Formation using a modified particle swarm optimisation (PSO) algorithm. The main modification made to the original PSO algorithm consists on that in this work it is not used the vector of velocities as the standard PSO algorithm does. The proposed algorithm uses the concept of proportional likelihood with modifications, a technique that is used in data mining techniques. Some simulations are presented and compared. The criterion used to group the machines in cells is based on the minimization of inter-cell movements. The computational results show that the PSO algorithm is able to find the optimal solutions on almost all instances.",
keywords = "Machine grouping, Manufacturing cells, Particle swarm optimization",
author = "Orlando Dur{\'a}n and Nibaldo Rodriguez and Consalter, {Luiz Airton}",
note = "Publisher Copyright: {\textcopyright} 2008 ICST.; null ; Conference date: 21-01-2008 Through 23-01-2008",
year = "2008",
month = jan,
day = "21",
doi = "10.4108/wkdd.2008.2655",
language = "English",
series = "e-Forensics 2008 - Proceedings of the 1st International Conference on Forensic Applications and Techniques in Telecommunications, Information, and Multimedia and Workshop",
publisher = "Association for Computing Machinery, Inc",
booktitle = "e-Forensics 2008 - Proceedings of the 1st International Conference on Forensic Applications and Techniques in Telecommunications, Information, and Multimedia and Workshop",
}