Evolving ant colony systems in hardware for random number generation

J. Isaacs, Robert K. Watkins, S. Foo
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引用次数: 14

Abstract

Using a genetic algorithm (GA) to evolve ant colony systems (ACS), we have succeeded at producing evolvable random number generators (RNG) that can be written to hardware. Although the simulated behavior of individual ants is limited to a small number of choices, "fit" colonies pass many stringent tests for randomness.
硬件中随机数生成的进化蚁群系统
利用遗传算法(GA)来进化蚁群系统(ACS),我们成功地产生了可写入硬件的可进化随机数生成器(RNG)。虽然模拟蚂蚁个体的行为仅限于少量的选择,但“适合”的蚁群通过了许多严格的随机性测试。
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