Project > Jeep

Jeep is a distributed Evolutionary Algorithm library, able to iteratively optimize anything against a selection criteria.

It comes with several built-in gene types and operators, as well as simple fitness functions. It can be used as a hybrid evolutionary algorithm where genes are not necessarily booleans or integers, but any object suitable for your needs. To do so, a straightforward inheritance mechanism allows the creation of your own Genes, Agents, Operators and Fitness function.