The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …

A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this
article. The searching capability of genetic algorithms is exploited in order to search for …

Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search
heuristics of current interest. This paper describes an application of DE to the automatic …

Newly developed Web-based educational technologies offer researchers unique
opportunities to study how students learn and what approaches to learning lead to success …

In this article the searching capability of genetic algorithms has been exploited for
automatically evolving the number of clusters as well as proper clustering of any data set. A …

Many partitional clustering algorithms based on genetic algorithms (GA) have been
proposed to tackle the problem of finding the optimal partition of a data set. Very few studies …

This paper presents an approach for classifying students in order to predict their final grade
based on features extracted from logged data in an education web-based system. A …

In this article, the effectiveness of variable string length genetic algorithm along with a
recently developed fuzzy cluster validity index (PBMF) has been demonstrated for clustering …

This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …

This book provides a unified framework that describes how genetic learning can be used to
design pattern recognition and learning systems. It examines how a search technique, the …