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Geneva optimization library
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This is the Geneva optimization library. As the name suggests -- it stands for "Grid-enabled evolutionary algorithms" --, it aims to provide the necessary tools to perform parametric optimization in parallel on devices ranging from multi-processor machines over clusters all the way to Grid- and Cloud-installations. Meanwhile, further optimization algorithms have been added beyond "mere" evolutionary algorithms, such as swarm algorithms, simulated annealing and a simple form of gradient descents. Further algorithms will be added over time, and the existing algorithms will be further improved. All algorithms act on the same problem definitions, and different optimization algorithms can interact and may be "chained", making it easy to tackle even complicated problems. Parallelization (on the level of optimization algorithms) happens mostly transparently for the user. Geneva does not want to be the fastest library of optimization algorithms on single-processor machines, but is instead targeted at large scale problems, where the evaluation of a single individual will typically take longer than a few seconds. Geneva is made available as an Open Source software, under the Apache License, version 2.0. External contributions to the code are very welcome, and indeed we make this code available in the hope that it will not only be useful, but will also encourage users to let us know about bugs or suggest or even implement features they would want to see in Geneva. To users and programmers wishing to contribute to this software, the terms of the Apache License guarantee the continued availability of the code under this license. Geneva is maintained by Gemfony scientific. To find out more about Gemfony and/or Geneva, visit http://www.gemfony.eu or contact us through contact (AT) gemfony (DOT) eu .