@inproceedings{8722fd45d85b474e8fb9412f6accba18,
title = "Solving the distribution center location problem based on multi-swarm cooperative particle swarm optimizer",
abstract = "The discrete location of distribution center is a NP-hard issue and has been studying for many years. Inspired by the phenomenon of symbiosis in natural ecosystems, multi-swarm cooperative particle swarm optimizer (MCPSO) is proposed to solve the location problem. In MCPSO, the whole population is divided into several sub-swarms, which keeps a well balance of the exploration and exploitation in MCPSO. By competition and collaboration of the individuals in MCPSO the optimal location solution is obtained. The experimental results demonstrated that the MCPSO achieves rapid convergence rate and better solutions.",
keywords = "discrete location, distribution center, improved PSO",
author = "Xianghua Chu and Qiang Lu and Ben Niu and Teresa Wu",
year = "2012",
doi = "10.1007/978-3-642-31588-6_80",
language = "English (US)",
isbn = "9783642315879",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "626--633",
booktitle = "Intelligent Computing Technology - 8th International Conference, ICIC 2012, Proceedings",
note = "8th International Conference on Intelligent Computing Technology, ICIC 2012 ; Conference date: 25-07-2012 Through 29-07-2012",
}