Adaptive Neuro‐Fuzzy Inference System (ANFIS) blends advantages of both Artificial Neural
Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated …

In this work we consider spatial clustering problem with no a priori information. The number
of clusters is unknown, and clusters may have arbitrary shapes and density differences. The …

The development of various applications of wireless sensor networks has aroused great
interest in using these types of networks in various fields. These networks, without …

With the development of various applications of wireless sensor networks, they have been
widely used in different areas. These networks are established autonomously and easily in …

In wireless sensor network, replacement of node's battery is very tough task in hostile
environments. Therefore, to maximize network lifetime is the ultimate solution. Dividing the …

In this paper, we propose a new method based on simulated annealing (SA) to solve the
minimum dominating set problem. To deal with the considered problem, a stochastic local …

The minimum dominating set (MDS) problem is one of the central problems of algorithmic
graph theory and has numerous applications especially in graph mining. In this paper, we …

Clustering is a popular data analysis and data mining technique. It is the unsupervised
classification of patterns into groups. Many algorithms for large data sets have been …

Due to the proliferation of smart mobile devices and the developments in wireless
communication, mobile ad hoc networks (MANETs) are gaining more and more attention in …

The development of complex scientific applications for high-end systems is a challenging
task. Addressing complexity of the involved software and algorithms is becoming …