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Geneva is a library for performing parametric optimization in parallel on devices ranging from multi-processor machines over clusters to Grids and Cloud installations.

Geneva currently supports Evolutionary Algorithms, Swarm Algorithms, Gradient Descents and a form of Simulated Annealing. All algorithms act on the same data structures for the description of optimization problems, so that it becomes possible to "chain" different algorithms, making the result of one algorithm the input of another.

The Geneva library is now hosted at GitHub! Please visit the new hosting location at .

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Core Devs
Core Devs
GNU Affero GPL v3

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trunk series is the current focus of development.

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Latest version is 1.8

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