Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …

Finding communities of connected individuals in complex networks is challenging, yet
crucial for understanding different real-world societies and their interactions. Recently …

Assessing a community detection algorithm is a difficult task due to the absence of finding a
standard definition for objective functions to accurately identify the structure of communities …

The major problems in a Wireless Sensor Networks (WSNs) is the localization problem, that
relates to how an area covers by the sensor nodes. In this study, the problem formulates as …

Community detection is useful for better understanding the structure of complex networks. It
aids in the extraction of the required information from such networks and has a vital role in …

Study on positioning indoors has been one of the most well-studied topics in recent years.
Localization approaches using RSS are attestable for collecting position information since …

Binary relations or interactions among bio-entities, such as proteins, set up the essential part
of any living biological system. Protein-protein interactions are usually structured in a graph …

Complex detection in protein-protein interaction (PPI) networks is one of the major issues
facing scientific study in biological networks. In PPINs, proteins are distributed differently as …

One of the recent significant but challenging research studies in computational biology and
bioinformatics is to unveil protein complexes from protein-protein interaction networks …

By definition, the detection of protein complexes that form protein-protein interaction
networks (PPINs) is an NP-hard problem. Evolutionary algorithms (EAs), as global search …