For a light-hearted FAQ and overview, see the
Hitch-Hiker's Guide to Evolutionary Computation.
the Parallel Genetic Algorithm Library, by David Levine,
is a general-purpose, data-structure-neutral, parallel genetic
algorithm library. It is intended to provide most capabilities desired in a
genetic algorithm library, in an integrated, seamless, and portable manner.
Key features include:
Callable from Fortran or C.
Runs on uniprocessors, parallel computers, and workstation networks.
Binary-, integer-, real-, and character-valued native data types.
Full extensibility to support custom operators and new data types.
Easy-to-use interface for novice and application users.
Multiple levels of access for expert users.
Parameterized population replacement.
Multiple crossover, mutation, and selection operators
Easy integration of hill-climbing heuristics.
Extensive debugging facilities.
Large set of example problems.
Detailed users guide
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Updated May 15, 2013