This paper presents an approach to topology, shape, and size optimization of transmission towers. The key feature of the presented approach is the independent variation of the number and heights of tower panels. For that purpose, a modified version of a Genetic Algorithm with a variable length genome is utilized. A novel method of two-stage mutation is developed for handling a variable length genome. Structural optimization of a 110 kV transmission tower is performed as a demonstration with the key result of 10% cost reduction.

中文翻译：

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使用具有可变长度基因组的新型遗传算法来优化输电塔的结构

本文提出了一种对输电塔进行拓扑，形状和尺寸优化的方法。所提出的方法的关键特征是塔板的数量和高度的独立变化。为此，使用了具有可变长度基因组的遗传算法的修改版本。开发了一种新的两阶段突变方法来处理可变长度的基因组。作为演示，对110 kV输电塔进行了结构优化，其关键结果是降低了10％的成本。