Geneva Optimization 0.9.2 "Route de Meyrin"

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Project:
Geneva Optimization
Series:
trunk
Version:
0.9.2
Code name:
Route de Meyrin
Released:
2011-08-04  
Registrant:
ariel
Release registered:
2011-08-05
Active:
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download icon geneva-v0.9.2-ReleaseNotes.txt (md5, sig) Geneva v0.9.2 Release Notes 28
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download icon geneva-v0.9.2.tgz (md5, sig) Geneva v0.9.2 (Route de Meyrin) 30
last downloaded 45 weeks ago
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Release notes 

Geneva Optimization Library

* Version 0.9.2, "Route de Meyrin" - February 4, 2011

See the Changelog for the individual changes.

Changelog 

View the full changelog

The main changes for this release include:
 - Added the ability to individuals to store secondary evaluation
   criteria in addition the main criterion.
 - Added a first version of multi-criterion ("pareto front")
   optimization to Geneva's Evolutionary Algorithms.
 - Added a serial consumer, so all execution modes can now be handled
   independently from the optimization algorithms.
 - Added explicit initialization and finalization code so we know when
   objects get constructed or destroyed in the presence of singletons.
 - Added forced termination code if the library is linked with Boost
   versions affected by the termination problem in conjunction with gcc.
 - Added a mechanism to deposit data at a remote site, so it doesn't
   need to be (de-)serialized in each iteration. Note that, if you use
   this feature together with check-pointing, you need to make sure
   that un-serialized data is loaded.
 - Replaced the publicly visible waitFactor by minimum and maximum
   values for the waitFactor variable. It will now be updated
   automatically.
 - Renamed the former serial GSwarm class to the more logical
   GSerialSwarm, similarly GEvolutionaryAlgorithm -> GSerialEA, and
   GGradientDescent -> GSerialGD.
 - Added an option that allows an evolutionary algorithm population
   to grow up to a user-defined limit, so one can start with small
   populations and still have good coverage of the parameter space
   close to the optimum. This is meant to shorten optimization runs
   in multi-threaded mode, if the population size is much larger than
   the number of available compute units.
 - Renovated gradient descents and swarms.
 - Added a means to recursively extract lower and upper boundaries
   and initialization ranges from GParameterBase-derivatives.
 - Moved the GBrokerConnector to the courtier library, making it a
   template class and thus independent of the optimization code.
 - Removed the GINDIVIDUALBROKER macro for clarity reasons.
 - Moved much of the Broker-Populations functionality into the
   GBrokerConnector, thus making it more generic and the population
   classes easier to understand.
 - Removed remaining dependencies of the courtier lib on the core
   optimization framework.
 - Moved scripts to their own subdirectory.
 - Added individual tests for the common and courtier libs.
 - Adapted to Boost 1.47.

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