@inbook{e7ad36bfa1ea4f55818b1df143128187,
title = "Genetic algorithm with optimized rough sets for modeling interstate conflict",
abstract = "This chapter presents methods to optimally granulize rough set partition sizes using a genetic algorithm. The procedure is applied to model the militarized interstate dispute data. The procedure is then compared to the rough set partition method that was based on simulated annealing. The results obtained showed that, for the data being analyzed, a genetic algorithm provides higher forecasting accuracy than does the process of simulated annealing.",
author = "Tshilidzi Marwala and Monica Lagazio",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag London Limited 2011.",
year = "2011",
doi = "10.1007/978-0-85729-790-7_10",
language = "English",
series = "Advanced Information and Knowledge Processing",
publisher = "Springer London",
number = "9780857297891",
pages = "183--199",
booktitle = "Advanced Information and Knowledge Processing",
address = "United Kingdom",
edition = "9780857297891",
}