This talk demonstrates the basic principles of biological evolution from the point of view of copying and mixing genetic data and goes on to illustrate how these principles have been used in evolutionary programming. Several published examples are examined in detail. Evolutionary programming is of interest for improving algorithms where the population of all possible algorithms is too large to be completely examined.