Acceleration of cellular automata algorithms using genetic algorithms
Advances in Engineering Software
Models of earthquake faults with long-range stress transfer
Computing in Science and Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolving Cellular Automata for Location Management in Mobile Computing Networks
IEEE Transactions on Parallel and Distributed Systems
A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Simulation of forest fire fronts using cellular automata
Advances in Engineering Software
A cellular automaton simulation tool for modelling seismicity in the region of Xanthi
Environmental Modelling & Software
Identification of probabilistic cellular automata
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Neighborhood detection and rule selection from cellular automata patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Modelling earthquake activity features using cellular automata
Mathematical and Computer Modelling: An International Journal
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A two-dimensional (2-D) cellular automata (CA) dynamic system constituted of cells-charges has been proposed for the simulation of the earthquake process. In this paper, the study is focused on the optimal parameterisation of the model introducing the use of genetic algorithm (GA). The optimisation of the CA model parameterisation, by applying a standard GA, extends its ability to study various hypotheses concerning the seismicity of the region under consideration. The GA evolves an initially random population of candidate solutions of model parameters, such that in time appropriate solutions to emerge. The quality criterion is realised by taking into account the extent that the simulation results match the Gutenberg-Richter (GR) law derived from recorded data of the area under test. The simulation results presented here regard regions of Greece with different seismic and geophysical characteristics. The results found are in good quantitative and qualitative agreement with the GR scaling relations.