Algorithm searches for models that best explain experimental data
Columbus, Ohio (Aug. 2, 2011) – A Franklin University professor recently developed an evolutionary computation approach that offers researchers the flexibility to search for models that can best explain experimental data derived from many types of applications, including economics.