EVOLVING ADVERTISEMENTS VIA AN EVOLUTIONARY ALGORITHM

摘要

An evolutionary algorithm is used to effect a directed trial and error search of alternative advertisement characteristics. An initial population of sample advertisements is provided, and the characteristics of each advertisement is encoded as a set of genes associated with each member of the population. The effectiveness of each member is assessed, using for example the number of times an Internet user clicks on each advertisement. The members of the population generate plurality of offspring ads that inherit characteristics from their parents. The members of the population that exhibit more effectiveness than others are preferentially selected for offspring generation. By continued preferential selection of parents having more effectiveness than other, the likehood of generating offspring that have a higher degree of effectiveness increases. The propagation of particular characteristics or combinations of characteristics in this evolutionary process provides an indication and verification of those ad characteristics that produce effective results.