Title: Interactive evolutionary computation with adaptive mutation for increasing the effectiveness of advertisement texts
Abstract: Interactive evolutionary computation systems can be used to evolve advertisement texts. Google AdWords was used as the interface that users can use to see the advertisement texts, and have a chance of being persuaded by the text into clicking them. Interactive evolutionary computation systems use humans to perform fitness evaluation in the evolutionary process, which can be applied on a genetic algorithm. This work presents a comparison between two variations of the genetic algorithm: one that uses a fuzzy inference system to dynamically adapt the mutation rate, and another that uses a fixed mutation rate. The results show that the dynamically adapted genetic algorithm in the interactive evolutionary computation system has the potential to have a better performance and lead to smaller costs in advertising campaigns.
Publication Year: 2016
Publication Date: 2016-12-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 1
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