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
https:/
View full history Series and milestones
trunk series is the current focus of development.
All bugs Latest bugs reported
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Bug #1568309: Incorrect random numbers from GRandomNumberFactory
Reported -
Bug #1556443: Wrong initializer for maxResubmissions_ in GGradientDescentFactory
Reported -
Bug #1427577: EA -> SA, "best past" of EA not transfered to SA
Reported -
Bug #1404490: Wrong default value for parameterscan
Reported -
Bug #1403535: Help command line options not available if missing config files
Reported