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The determination of percolation threshold is the substantial question for a lot of problems which may be modeled by the formalism of cellular automata. There is a set of well known algorithms which deal with this topic. All of them have some advantages and drawbacks connected to calculational or memory complexity. In our work we are going to present a new approach which we call reducing algorithm...
The application of genetic algorithms in a physical problem of modeling of isolated atomic clusters is the topic of our research. Evolutionary algorithms are a mechanism of the global optimization learning about the solution of the search space. This mechanism plays the role of giving the candidates to global optima. We can use the local optimization in the evolutionary process to improve the efficiency...
In the recent years it has been shown that behavior of the human social activities can be successfully simulated by quite simple models. Among them, very interesting due to its discrete representation, seems to be cellular automata. In the presented paper we would like to deal with this approach introducing some corrections to the model of cellular automata with two absorbing states. The simple version...
The critical properties of one-dimensional, probabilistic cellular automata with two absorbing states are presented. Size dependent values of critical exponents related to order parameter and its susceptibility is analyzed and some inconsistencies in classification of this model into universality class are discussed.
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