Adaptive wireless networks using learning automata

P Nicopolitidis, GI Papadimitriou… - IEEE Wireless …, 2011 - ieeexplore.ieee.org
Wireless networks operate in environments with unknown and time-varying characteristics.
The changing nature of many of these characteristics will significantly affect network …

A link stability-based multicast routing protocol for wireless mobile ad hoc networks

JA Torkestani, MR Meybodi - Journal of Network and Computer …, 2011 - Elsevier
Recently, several studies have been conducted to design mobility-based multicast routing
protocols for wireless mobile ad hoc networks (MANET). These protocols assume that the …

A Michigan memetic algorithm for solving the community detection problem in complex network

MR Mirsaleh, MR Meybodi - Neurocomputing, 2016 - Elsevier
Community structure is an important feature in complex networks which has great significant
for organization of networks. The community detection is the process of partitioning the …

A mobility-based cluster formation algorithm for wireless mobile ad-hoc networks

J Akbari Torkestani, MR Meybodi - cluster computing, 2011 - Springer
In the last decade, numerous efforts have been devoted to design efficient algorithms for
clustering the wireless mobile ad-hoc networks (MANET) considering the network mobility …

A cellular learning automata-based algorithm for solving the vertex coloring problem

JA Torkestani, MR Meybodi - Expert Systems with Applications, 2011 - Elsevier
Vertex coloring problem is a combinatorial optimization problem in which a color is assigned
to each vertex of the graph such that no two adjacent vertices have the same color. Cellular …

A learning automata-based heuristic algorithm for solving the minimum spanning tree problem in stochastic graphs

J Akbari Torkestani, MR Meybodi - The Journal of Supercomputing, 2012 - Springer
During the last decades, a host of efficient algorithms have been developed for solving the
minimum spanning tree problem in deterministic graphs, where the weight associated with …

An adaptive learning automata-based ranking function discovery algorithm

J Akbari Torkestani - Journal of intelligent information systems, 2012 - Springer
Due to the massive amount of heterogeneous information on the web, insufficient and vague
user queries, and use of the same query by different users for different aims, the information …

Balancing exploration and exploitation in memetic algorithms: a learning automata approach

M Rezapoor Mirsaleh… - Computational …, 2018 - Wiley Online Library
One of the problems with traditional genetic algorithms (GAs) is premature convergence,
which makes them incapable of finding good solutions to the problem. The memetic …

An adaptive focused web crawling algorithm based on learning automata

J Akbari Torkestani - Applied Intelligence, 2012 - Springer
The recent years have witnessed the birth and explosive growth of the Web. The exponential
growth of the Web has made it into a huge source of information wherein finding a document …

A new memetic algorithm based on cellular learning automata for solving the vertex coloring problem

M Rezapoor Mirsaleh, MR Meybodi - Memetic Computing, 2016 - Springer
Vertex coloring problem is a combinatorial optimization problem in graph theory in which a
color is assigned to each vertex of graph such that no two adjacent vertices have the same …