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Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem

机译:Onemax问题的变体上具有多条染色体的可变长度遗传算法

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The dynamics of variable length representations in evolutionary computation have been shown to be complex and different from those seen in standard fixed length genetic algorithms. This paper explores a simple variable length genetic algorithm with multiple chromosomes and its underlying dynamics when used for the onemax problem. The changes in length of the chromosomes are especially observed and explanations for these fluctuations are sought.
机译:进化计算中可变长度表示的动力学已被证明是复杂的,并且与标准固定长度遗传算法中所见的动力学不同。本文探讨了一个简单的具有多个染色体的可变长度遗传算法,以及用于onemax问题的潜在动力学。特别观察到染色体长度的变化,并寻求对这些波动的解释。

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