Saving computational effort in genetic programming by means of plagues

F. Fernández, M. Tomassini, L. Vanneschi
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引用次数: 34

Abstract

A new technique for saving computing resources when using genetic programming is presented in this work. Instead of directly fighting bloat $the main factor explaining the large computational cost required for the evaluation of generations - by acting on individuals, we apply a new operator to the whole population: the plague. By removing some individuals every generation, we compensate for the increase in size of individuals, thus saving computing time when looking for solutions.
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利用瘟疫节省遗传规划的计算量
提出了一种利用遗传规划节省计算资源的新方法。我们没有直接与膨胀(解释世代评估所需的大量计算成本的主要因素)作斗争,而是对个体采取行动,我们对整个种群应用了一个新的算子:瘟疫。通过每代删除一些个体,我们补偿了个体大小的增加,从而节省了寻找解决方案时的计算时间。
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