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引用次数: 4

摘要

对交叉算子进行微调以产生更高适应度的子代,可以提高基因搜索的效率。为了说明这一点,描述了两个新的通用交叉操作符。这些算子比传统的交叉算子需要更多的计算时间,但遗传算法的适应度评估次数和总体花费的时间(获得期望的近最优质量的解)显著减少。
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Crossover operators that improve offspring fitness
Fine-honing the crossover operator to produce higher fitness children is shown to result in improved genetic search. To illustrate this, two new general-purpose crossover operators are described. These operators require more computation time than traditional crossover operators, but the number of fitness evaluations and the overall amount of time spent by the genetic algorithm (to obtain solutions of desired near-optimal quality) is reduced significantly.
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