Scientific Computing FAQ: Genetic Algorithms

Genetic Algorithms

For a light-hearted FAQ and overview, see the Hitch-Hiker's Guide to Evolutionary Computation. PGAPack, 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