A Genetic Algorithm Approach to Synthetic Data Production
Yingrui Chen, Mark James Elliot, Joseph W. Sakshaug · 2016
This paper explains a potential approach to synthetic data generation using genetic algorithms. It based on the principle that optimisation can be strong, accurate and efficient if there is sufficient prior knowledge of solution space. This approach is applicable because its evolutionary and competitive process compares different synthetic versions of the original data and combines their fitness in the finalised dataset.