@inproceedings{2ccad1c2db3e4509a88c080f7e7eae0c,
title = "The swarm effect minimization algorithm Utilized to optimise the frequency assignment problem",
abstract = "The swarm effect minimization algorithm (SEMA) is presented in this paper. The SEMA was used to produce improved solutions for the minimum interference frequency assignment problem (MI-FAP) in mobile telecommunications networks. The SEMA is a multi-agent orientated design. The SEMA is based on the stigmergy concept. The stigmergy concept allows the actual changes in the environment made by entities in a swarm to act as a source of information that aids the swarm entities when making further changes in the environment. The entities do not blindly control the changes in the environment the actual changes guide the entities. The SwarmAFP is tested against the COST 259 Siemens bench marks as well as tested in a commercial mobile telecommunications network and the results are presented in this paper.",
keywords = "Frequency assignment problem, NP-complete problem, Stigmergy, Swarm intelligence",
author = "O'Reilly, {Grant Blaise} and Elizabeth Ehlers",
year = "2008",
language = "English",
isbn = "9789898111388",
series = "ICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems",
pages = "397--402",
booktitle = "ICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems",
note = "ICEIS 2008 - 10th International Conference on Enterprise Information Systems ; Conference date: 12-06-2008 Through 16-06-2008",
}