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.
To test the algorithm underlying that approach, Esmail Bonakdarian, Ph.D., an assistant professor of computing sciences and mathematics at Franklin, leveraged the Glenn IBM 1350 Opteron cluster, the flagship system of the Ohio Supercomputer Center (OSC).