A solution to channel assignment problem in cellular networks is self-organizing channel assignment algorithm with distributed control. In this paper, we propose three cellular learning automata based dynamic channel assignment algorithms. In the first two algorithms, no information about the status of channels in the whole network will be used by cells for channel assignment whereas in the thi...

we prove that if $m$ is a monoid and $a$ a finite set with more than one element‎, ‎then the residual finiteness of $m$ is equivalent to that of the monoid consisting of all cellular automata over $m$ with alphabet $a$‎.

quantum-dot cellular automata (qca) are a promising nanotechnology to implement digital circuits at the nanoscale. devices based on qca have the advantages of faster speed, lower power consumption, and greatly reduced sizes. in this paper, we are presented the circuits, which generate random numbers in qca. random numbers have many uses in science, art, statistics, cryptography, gaming, gamblin...

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

The Full Adders (FAs) constitute the essential elements of digital systems, in a sense that they affect the circuit parameters of such systems. With respect to the MOSFET restrictions, its replacement by new devices and technologies is inevitable. QCA is one of the accomplishments in nanotechnology nominated as the candidate for MOSFET replacement. In this article 4 new layouts are presente...

optimizing the database queries is one of hard research problems. exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. the use of evolutionary methods, beca...

In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary model. In this model, every genome in the population is assigned to one cell of CLA and each cell in CLA is equipped with a set of learning automata. Actions selected by learning automata of a cell determine the genome...

coverage improvement is one of the main problems in wireless sensor networks. given a finite number of sensors, improvement of the sensor deployment will provide sufficient sensor coverage and save cost of sensors for locating in grid points. for achieving good coverage, the sensors should be placed in adequate places. this paper uses the genetic and learning automata as intelligent methods for...

quantum dot cellular automata (qca) is one of the important nano-level technologies for implementation of both combinational and sequential systems. qca have the potential to achieve low power dissipation and operate high speed at thz frequencies. however large probability of occurrence fabrication defects in qca, is a fundamental challenge to use this emerging technology. because of these vari...