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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



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