includes an overview of how to implement a genetic algorithm and examples illustrating customizations to the GAlib classes. GAlib includes examples that use PVM for distributed, parallel implementations. it includes graphic examples that use the Athena or Motif widget sets, or MFC/VC++.

•Structured object oriented architecture •Smart pointers for automatic memory allocation management •Abstract factory, for runtime allocation of objects of any types •Parameters and algorithms dynamically configurable by files •Sophisticated logging mechanism with output in XML •Checkpoint mechanism for evolution recovery and results analysis •Population composed of multiple demes •History of best-of-run individuals for the whole population and for each demes •Population seeding from file •Master-slave model for parallel fitness evaluation