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Project Summary

Geneva is a library written in C++ 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, a form of Simulated Annealing as well as Parameter Scans. 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.

Tags

ai boost c++ cloud cluster evolutionaryalgorithm geneticalgorithm gpgpu gradientdescent grid highperformancecomputing optimization parameterscan particleswarmoptimization simulatedannealing

In a Nutshell, Gemfony Optimization Library (Geneva)...

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Code Locations:
git://git.launchpad.net/geneva
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Managers:
Ruediger Berlich and Ariel Garcia

Licenses

GNU Affero General Public License v3.0
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Project Security

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 No recognizable code

Open Hub computes statistics on FOSS projects by examining source code and commit history in source code management systems. This project has code locations but that location contains no recognizable source code for Open Hub to analyze.

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