Stochastic analysis of schema distribution in a multiplicative landscape
Stochastic analysis of schema distribution in a multiplicative landscape
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乘法景观中模式分布的随机分析
DOI：
10.1007/s10015-006-0409-5
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发表时间：
2007
影响因子：
0.9
通讯作者：
Takao Ito
中科院分区：
文献类型：
--
作者：
Hiroshi Furutani;Susumu Katayama;M. Sakamoto;Takao Ito
在这项研究中，我们研究了遗传漂变对遗传算法在乘法景观上的性能的影响。我们对一阶图式的频率进行了理论研究，并使用Wright-Fisher模型计算了它们随时间的变化。我们证明了这个数学理论合理地预测了各种量，包括一阶图式的最终分布。
In this study, we investigated the influence of genetic drift on the performance of a genetic algorithm on the multiplicative landscape. We performed a theoretical investigation of the frequencies of the first-order schemata, and calculated their changes in time by using the Wright–Fisher model. We showed that this mathematical theory reasonably predicts various quantities, including the ultimate distribution of the first-order schemata.