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The efficacy of genetic operators and DNA fragment assembly

机译：遗传算子和DNA片段组装的疗效

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Genetic algorithms rapidly evolve very good solutions to problems, but often spend a large proportion of the run fine-tuning. One possible solution to this problem is to apply different operators (or the same operators at different rates) over the course of the run. This paper presents a series of experiments designed to measure the effectiveness of various genetic operators at different stages of the genetic algorithm execution. The relationship between the fitness distribution and the operator effectiveness is also explored. We discovered a transition point for both operator effectiveness and fitness distribution. Finally, we performed experiments that altered the operator rates after the genetic algorithm has completed its rapid fitness climb. These preliminary results are promising.
机译：遗传算法迅速发展了非常好的解决方案，但通常花费大部分运行微调。对此问题的一个可能解决方案是在运行过程中应用不同的运算符（或不同率的相同运算符）。本文介绍了一系列实验，旨在测量各种遗传算子在遗传算法执行的不同阶段的有效性。还探讨了健身分布与运营商效果之间的关系。我们发现了操作员有效性和健身分布的过渡点。最后，我们进行了在遗传算法完成快速健身后改变操作员速率的实验。这些初步结果很有前景。

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