Co-evolving Parallel Random Number Generators

作者: Moshe Sipper , Marco Tomassini

DOI: 10.1007/3-540-61723-X_1058

关键词: Complex systemStochastic simulationContrast (statistics)Cellular automatonRandom number generationDiscrete mathematicsRandom permutationComputer sciencePseudorandom number generatorComputationAlgorithm

摘要: Random numbers are needed in a variety of applications, yet finding good random number generators is difficult task. In the last decade cellular automata (CA) have been used to generate numbers. this paper non-uniform CAs studied, where each cell may contain different rule, contrast original, uniform model. We present programming algorithm for co-evolving perform computations, and apply it evolution generators. Our results suggest that can be evolved; these exhibit behavior at least as previously described CAs, with notable advantages arising from existence “tunable” obtaining

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