  We introduce a Genetic Algorithm (GA) based, open-source project to solve
multi-objective optimization problems of materials characterization data
analysis including EXAFS, XPS and nanoindentation. The modular design and
multiple crossover and mutation options make the software extensible for
additional materials characterization applications too. This automation of the
analysis is crucial in the era when instrumentation acquires data orders of
magnitude more rapidly than it can be analyzed by hand. Our results
demonstrated good fitness scores with minimal human intervention.
