Genetic evolution of regression models for business and economic forecasting
Mahmoud A. Kaboudan · 2003
The paper attempts to bridge the gap between genetic evolution of regression models and their use in business and economic forecasting. With ample evidence of their successful fitting of data from fairly complex systems, a logical next step is to make genetic and evolutionary methods useful and available to business and economics researchers. A few suggestions are made; they describe desirable output files and statistical tests to evaluate results from evolved models which genetic or evolutionary computer programs should produce. These suggestions should invite better ones to popularize use of evolutionary methodology and to benefit scientific research.