income census tracts. We then use a simple Cellular Automata model to explore how alternative programs structures could …

Cellular automata were used to model and to simulate phenomena in the area of physics, biology and medicine. In this … paper it is now shown how the idea of cellular automata can be applied to optimization problems as well. As an example a …

Cellular automata were used to model and to simulate phenomena in the area of physics, biology and medicine. In this … paper it is now shown how the idea of cellular automata can be applied to optimization problems as well. As an example a …

We implement the cellular automata model proposed by Stauffer and Weisbuch in 1992 to describe the response of the …

This paper proposes a class of two-dimensional asynchronous cellular automata with conservation of mass, for the …” cellular automata which evolve, for instance, into homogeneity are automatically excluded in this scheme. This is greatly … advantageous for searching, automatically, for pattern-forming cellular automata. A search technique using genetic algorithm is …

The cellular learning automata, which is a combination of cellular automata, and learning automata, is a new recently … introduced model. This model is superior to cellular automata because of its ability to learn and is also superior to a single … adjust the state transition probability of stochastic cellular automata. In this paper, we first provide a mathematical …

We investigate a family of totalistic probabilistic cellular automata (PCA) which depend on three parameters. For the …

In this paper, we propose a model of studying attitude evolution on campus. With the Cellular Automata (CA) model, we …

development using von Thunen’s economic location theory. By using stochastic Cellular Automata which views land location as agents …