Particle swarm optimization is a stochastic optimization, evolutionary and simulating
algorithm derived from human behaviour and animal behaviour as well. Special property of …

The capability of fuzzy systems to solve different kinds of problems has been demonstrated
in several previous investigations. Genetic fuzzy systems (GFSs) hybridize the approximate …

The security of networked computers plays a strategic role in modern computer systems.
This task is so complicated because the determination of normal and abnormal behaviors in …

Nearest prototype methods can be quite successful on many pattern classification problems.
In these methods, a collection of prototypes has to be found that accurately represents the …

Abstract The use of Evolutionary Algorithms to perform data reduction tasks has become an
effective approach to improve the performance of data mining algorithms. Many proposals in …

Social media platform has achieved wide popularity in presenting the user‐generated
information online. The proliferation of user‐generated content through social networking …

Association rule mining is a data mining technique for discovering useful and novel patterns
or relationships from databases. These rules are simple to infer and intuitive and can be …

The increased availability of wireless handheld devices and smartphones has accelerated
the use of Internet for various applications. However, this proliferated usage of Internet with …

In robot control, rule discovery for understanding of data is of critical importance. Basically,
understanding of data depends upon logical rules, similarity evaluation and graphical …

This paper presents a new approach to Particle Swarm Optimization, called Michigan
Approach PSO (MPSO), and its application to continuous classification problems as a …