期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2015
卷号：7
页码：084-093
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Over the past two decades a wide range of na- ture-inspired clustering algorithms has been proposed in the literature with competitive performance when applied to solving real-world complex problems. One common feature of most of these algorithms is the need to set a number of internal parameters so that they can be suitably applied to these problems. These parameters are usually introduced so as to simplify or model some biological aspects of the phe- nomenon being modeled, but they greatly influence the per- formance of the proposed algorithm. The present paper takes one of these bio-inspired algorithms and investigates how its input, user-defined, parameters influence its performance. By doing that, we provide some important clues and guidelines for potential users to understand how to better set the pa- rameters so as to take the most out of the algorithm. Two different versions of the algorithm are considered in the analysis reported here.
