jgap-announce — Public announcements concerning JGAP

Re: [JGAP-announce] Grid computation: broken pipe error

[Tapas <st...@cd...>]

Problem solved by setting classpath. I was specifying class path of my code in
Client only. It had to be specified for Server & Worker also.

Thanks

On November 8, 2013 at 4:39 PM Tapas <st...@cd...> wrote:

> 
>  Hi.
> 
>  I'm using jgap 3.4.4. I set up some code to compute my fitness values on a
>  grid. It is almost identical to that from examples/grid/fitnessDistributed.
> The problem is to generate helloworld.
>  My sample chromosome is an array of StringGene(but each string having single
> character)
> 
>  The server, client & two workers are on the same machine.
> 
>   What happens on runing client
>  I got an java.net.SocketException, below is the output on running console
>  .
>  .
>  .
>  101  2013-11-08 16:20:35,179 [Thread-0] WARN   Client starts sending work
> requests
>  Splitting request strategy
>  106  2013-11-08 16:20:35,184 [Thread-0] WARN   Sending work request 0
>  146  2013-11-08 16:20:35,224 [Thread-0] WARN   Sending work request 1
>  149  2013-11-08 16:20:35,227 [Thread-0] WARN   Sending work request 2
>  java.net.SocketException: Broken pipe
>      at java.net.SocketOutputStream.socketWrite0(Native Method)
>      at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
>      at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
>      at
> java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1870)
>      at
> java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1779)
>      at
> java.io.ObjectOutputStream.writeNonProxyDesc(ObjectOutputStream.java:1283)
>      at
> java.io.ObjectOutputStream.writeClassDesc(ObjectOutputStream.java:1228)
>      at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1424)
>      at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1175)
>      at
> java.io.ObjectOutputStream.writeFatalException(ObjectOutputStream.java:1570)
>      at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:350)
>      at
> org.homedns.dade.jcgrid.util.GridMessageFlatChannel.send(GridMessageFlatChannel.java:62)
>      at org.homedns.dade.jcgrid.client.GridClient.send(GridClient.java:55)
>      at org.jgap.distr.grid.JGAPClient.sendWorkRequests(JGAPClient.java:132)
>      at org.jgap.distr.grid.JGAPClient.evolve(JGAPClient.java:183)
>      at org.jgap.distr.grid.JGAPClient.run(JGAPClient.java:111)
>  155  2013-11-08 16:20:35,233 [Thread-0] ERROR  Error catched on client side:
> Error while doing the work
>  java.net.SocketException: Broken pipe
>      at java.net.SocketOutputStream.socketWrite0(Native Method)
>      at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
>      at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
>      at
> java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1870)
>      at
> java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1779)
>      at
> java.io.ObjectOutputStream.writeNonProxyDesc(ObjectOutputStream.java:1283)
>      at
> java.io.ObjectOutputStream.writeClassDesc(ObjectOutputStream.java:1228)
>      at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1424)
>      at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1175)
>      at
> java.io.ObjectOutputStream.writeFatalException(ObjectOutputStream.java:1570)
>      at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:350)
>      at
> org.homedns.dade.jcgrid.util.GridMessageFlatChannel.send(GridMessageFlatChannel.java:62)
>      at org.homedns.dade.jcgrid.client.GridClient.send(GridClient.java:55)
>      at org.jgap.distr.grid.JGAPClient.sendWorkRequests(JGAPClient.java:132)
>      at org.jgap.distr.grid.JGAPClient.evolve(JGAPClient.java:183)
>      at org.jgap.distr.grid.JGAPClient.run(JGAPClient.java:111)
> 
>  Kindly help me. Thanks
>  Tapas
> 

-------------------------------------------------------------------------------------------------------------------------------

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-------------------------------------------------------------------------------------------------------------------------------

[JGAP-announce] Grid computation: broken pipe error

[Tapas <st...@cd...>]

Hi.

I'm using jgap 3.4.4. I set up some code to compute my fitness values on a
grid. It is almost identical to that from examples/grid/fitnessDistributed. The
problem is to generate helloworld.
My sample chromosome is an array of StringGene(but each string having single
character)

The server, client & two workers are on the same machine.

What happens on runing client
I got an java.net.SocketException, below is the output on running console
.
.
.
101  2013-11-08 16:20:35,179 [Thread-0] WARN   Client starts sending work
requests
Splitting request strategy
106  2013-11-08 16:20:35,184 [Thread-0] WARN   Sending work request 0
146  2013-11-08 16:20:35,224 [Thread-0] WARN   Sending work request 1
149  2013-11-08 16:20:35,227 [Thread-0] WARN   Sending work request 2
java.net.SocketException: Broken pipe
    at java.net.SocketOutputStream.socketWrite0(Native Method)
    at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
    at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
    at
java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1870)
    at
java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1779)
    at
java.io.ObjectOutputStream.writeNonProxyDesc(ObjectOutputStream.java:1283)
    at java.io.ObjectOutputStream.writeClassDesc(ObjectOutputStream.java:1228)
    at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1424)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1175)
    at
java.io.ObjectOutputStream.writeFatalException(ObjectOutputStream.java:1570)
    at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:350)
    at
org.homedns.dade.jcgrid.util.GridMessageFlatChannel.send(GridMessageFlatChannel.java:62)
    at org.homedns.dade.jcgrid.client.GridClient.send(GridClient.java:55)
    at org.jgap.distr.grid.JGAPClient.sendWorkRequests(JGAPClient.java:132)
    at org.jgap.distr.grid.JGAPClient.evolve(JGAPClient.java:183)
    at org.jgap.distr.grid.JGAPClient.run(JGAPClient.java:111)
155  2013-11-08 16:20:35,233 [Thread-0] ERROR  Error catched on client side:
Error while doing the work
java.net.SocketException: Broken pipe
    at java.net.SocketOutputStream.socketWrite0(Native Method)
    at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
    at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
    at
java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1870)
    at
java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1779)
    at
java.io.ObjectOutputStream.writeNonProxyDesc(ObjectOutputStream.java:1283)
    at java.io.ObjectOutputStream.writeClassDesc(ObjectOutputStream.java:1228)
    at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1424)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1175)
    at
java.io.ObjectOutputStream.writeFatalException(ObjectOutputStream.java:1570)
    at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:350)
    at
org.homedns.dade.jcgrid.util.GridMessageFlatChannel.send(GridMessageFlatChannel.java:62)
    at org.homedns.dade.jcgrid.client.GridClient.send(GridClient.java:55)
    at org.jgap.distr.grid.JGAPClient.sendWorkRequests(JGAPClient.java:132)
    at org.jgap.distr.grid.JGAPClient.evolve(JGAPClient.java:183)
    at org.jgap.distr.grid.JGAPClient.run(JGAPClient.java:111)

Kindly help me. Thanks
Tapas
-------------------------------------------------------------------------------------------------------------------------------

This e-mail is for the sole use of the intended recipient(s) and may
contain confidential and privileged information. If you are not the
intended recipient, please contact the sender by reply e-mail and destroy
all copies and the original message. Any unauthorized review, use,
disclosure, dissemination, forwarding, printing or copying of this email
is strictly prohibited and appropriate legal action will be taken.
-------------------------------------------------------------------------------------------------------------------------------

[JGAP-announce] Variable Length Chromosomes in JGAP

[Rehan F. <ein...@gm...>]

Hi,

I am at the moment working on finalization of my thesis titled "Class
Testing from OCL Class Contracts using Evolutionary Multi-Objective Genetic
Algorithms". I have coded my custom Genes and Chromosomes, I am following
the examples related to Multi Objective GA available with the JGAP.

I am at the moment facing problems of having variable length Chromosomes. I
want to optimize the length of generated test sequences and in order to do
that I require chromosomes of variable length. Please let me know if is
possible to have variable length chromosomes that is of different length
each in JGAP evolution process?

Thanks and Regards,
Rehan Farooq
MSSE IIU

[JGAP-announce] A lot of Same Chromosomes in the population

[Burçak O. S. <bur...@me...>]

Hi to all,

I have been using JGAP for my project.
I am trying Multi Objective Genetic Algorithm.

Although I have set the parameters as shown in below.
I still get a lot of same chromosomes in my population.
Is this a bug?
-----------------------------
     conf.setKeepPopulationSizeConstant(false);

     BestChromosomesSelector bestChromsSelector = new 
BestChromosomesSelector(conf);
     bestChromsSelector.setDoubletteChromosomesAllowed(false);

     conf.addNaturalSelector(bestChromsSelector, false);

------------------------

Thanks in advance,
Burcak Otlu Saritas

[JGAP-announce] help : error DecoderException.java not found

[Amel H. <ame...@u-...>]

hi all,

i'm new a user of JGAP, i want to execute the example
multidimension.KnapsackMain and i found this error :

Exception in thread "main" java.lang.NoClassDefFoundError:
org/apache/commons/codec/DecoderException

could any one help me,
thanks in advance
regards
Amel

[JGAP-announce] JGAP 3.3.3 released

[Klaus M. <jg...@kl...>]

JGAP version 3.3.3 is an extensive release, featuring basically the following: 
* The evolution cycle has been revamped and simplified for a better understanding 
* A lot of smaller enhancements and arcitectural improvements, see the change log 
* Some bugs have been fixed 
* The basic MinimizingMakeChange example was simplified 
* Improved grid computing by adding new classes and features 
* Javadoc-enhancements 
* New JUnit tests 
Also see the change log!
 
This release can be downloaded here:  
http://sourceforge.net/project/showfiles.php?group_id=11618&package_id=48940 
 
For more information about JGAP visit the JGAP homepage at http://jgap.sf.net 
 
Klaus Meffert

[JGAP-announce] question about jgap

[Justiciero V. <jus...@gm...>]

Greetings:
I am trying to use jgap in the most simplest way, I examine the examples,
but I got stucked in a trivial matter. I would like to program the SGA as
was in the book made by Goldberg, but I cannot find any info about how to do
it in the most simplest way, is there anybody that could provide me with a
template about how to use jgap; I mean where I could set up the number of
generations, the form of the chromosomes, the fitness function and so on.
Please help me I have little time to spend in learning this framework
Thanks
ERick

[JGAP-announce] How to use a non-random starting point for GP programming chromosomes

[Klaus K. <kro...@ip...>]

Dear all,

is there an intended way to improve the convergence speed in GPProgramming by providing a kind of initially "predefined" chromosome? I already tried using a prototype program and an GPInitStrategy. As far as I checked the code prototype programs are currently used as a fallback only if the creation of a random GPProgram fails (number of tries exceeds maxTries from config) and GPInitStrategies are returning single CommandGenes only.
It would be sufficient for me if I could provide a set of GPPrograms or ProgramChromosomes for the first generation.

Kind regards,
Klaus Krogmann

[JGAP-announce] from a Chinese user of JGAP

[<zh...@so...>]

Hello! 

I am a new user of JGAP from China. I have spent a whole week to study your programs. Thank you for sharing your work. It's wonderful. However, I found a bug in one of your examples named "MathProblem.java", In this example, the fitness was defined as an error between the selected value and the target value, which means the greater the error is, the greater the fitness is. And in evolve(), the class "FitnessProportionateSelection" which was used to select individual defined that the individual with greater fitness had larger possibility to be selected. As the result of two definations above, the closer the value to the target, the less possible it to be selected. I think it was wrong. I am looking forward to your response.

I appreciate your help.

Regards

												Huitao Zhang

[JGAP-announce] Over a thousand page views on a single day

[Klaus <bec...@ya...>]

Friends and Users of JGAP!
 
On January, 7th, this year the JGAP site has had over a thousand page views
a day (1.070 to be exact acording to the sourceforge statistics) and 74
downloads. Not too bad for a Genetic Algorithms Package.
 
Although released just a few days ago, our new release 2.0 has been
downloaded 200 times in total over all files. That's great! Thanx go to all
participating developers and inspirers of JGAP.
 
Let our mission continue to make JGAP even more sophisticated! Help by
making suggestions, being inspiring, donating or helping interfacing other
projects with JGAP (like JOONE, look at http://www.jooneworld.com/ for the
Neural Network project and http://joonegap.sourceforge.net for the
interfacing between JOONE and JGAP more information).
 
Best
 
Klaus Meffert

[JGAP-announce] JGAP 2.0 released

[Klaus <bec...@ya...>]

JGAP is a genetic algorithms package written in Java. It is designed to
require minimum effort to use "out of the box," but is also designed to be
highly modular to allow for custom components to be easily plugged in by the
more adventurous. JGAP version 2.0 represents the second big production
release of JGAP after many years of development, testing, alpha, and beta
releases! 
 
This release contains many new features, unit tests, documentation and lays
ground for the upcoming version 3.0 extending status quo torwards Genetic
Programming, auditing of performance and ease of handling.

New features include:
* Added new NaturalSelector: class TournamentSelector (see request 1066342)
* Made add(Chromosome) method protected by moving from INaturalSelector to
NaturalSelector
* Added new class GaussianMutationOperator (see request 708772)
* Added DeltaFitnessEvaluator interpreting fitness values a defect rates
* Added new package org.jgap.impl.salesman containing classes helping to
solve the
  Travelling Salesman Problem (TSP) and related problems.
* Centralized Configuration object. Use
Genotype.setConfiguration(Configuration) to
  set it and Genotype.getConfiguration() to obtain it.
* Introduced overall performance test to ensure performance
* Introduced new example in packeg examples.simpleBoolean
* Introduced new example for Travelling Salesman Problem (TSP)
  in package org.jgap.impl.salesman
* Introduced org.jgap.supergenes.Supergene including documentation and
example
* Changed return type Chromosome[] to Population containing list of
Chromosomes
* Added new unit tests
* Class Chromosome: made attribute "Gene[] m_genes" private
* Class Chromosome: added csupport for application data object in method
clone()
* Renamed interface NaturalSelector to INaturalSelector, introduced abstract
base
  class NaturalSelector implementing INaturalSelector (see request 1075249)
* Interface INaturalSelector: Introduced new method boolean
returnsUniqueChromosomes()
* Fixed Chromosome.getFitnessValue() to return the current fitness value and
not
  always the first one computed
* Fixed design flaw in Genes' methods mapValueToWithinBounds()
* Genes now can hold a Configuration object

[JGAP-announce] JAGAP 2.0 will be released soon

[becontrolled <bec...@ya...>]

Friends of JGAP!

As planned, JGAP will be released end of this year. Await many improvements,
new unit tests ensuring a high quality and illustrative examples.

I wish you all a merry xmas and a happy New Year 2005.

Klaus Meffert
JGAP admin

[JGAP-announce] JGAP now open to donations

[becontrolled <bec...@ya...>]

Friends and user of JGAP!

JGAP has been opened to donations with the current day.
As a project admin, I decided this due to the huge interest in JGAP and the
necessity enabling progress, also thru fundings.
There already is one concrete offer for a donation which will hopefully be
realized by release 2.0. The founder of JGAP, Neil Rotstan, now being
passive, has contributed much to the success of JGAP, alone by creating the
project, and not to speak of laying the technical foundation. I promised him
that, if/when a donation comes in, he will get transferred part of it (for
being the founder and creator of JGAP).

So let's all develop a good JGAP which will be released by end of this year
as version 2.0 with many extensions.

All the best

Klaus

[JGAP-announce] JGAP 1.1 released

[becontrolled <bec...@ya...>]

 JGAP is a genetic algorithms package written in Java. It is designed to
 require minimum effort to use "out of the box," but is also designed to be
 highly modular to allow for custom components to be easily plugged in by
 the more adventurous.

 JGAP 1.1 represents the second production release of JGAP! Changes in this
 release are directed at maximizing code stability and introducing new
 functionality including realization of feature requests.
 Many unit tests are implemented in order to accomplish the target of a
 productive, correct-working software package.

 Version 1.1 of JGAP can be downloaded from the JGAP home page, which
 can be found at http://jgap.sourceforge.net

 If you run into any problems or have any questions, we encourage you to
 send an email to the jgap-users mailing list at:

       jgap-users at lists.sourceforge.net

 Thanks for trying JGAP!
 -- Klaus Meffert for The JGAP Team

 Changelog for version 1.1
 -------------------------
* Changed return type of fitness value from int to double, see request
  783997
* Implemented feature request 708774 (averaging crossover)
* Implemented feature request 710497 (attach application data)
* Added support for more than one NaturalSelector.
* Added support for processing of NaturalSelector's before and after
  applying GeneticOperator's.
* Provided new Gene implementations
* Did minor changes across all packages.
* Implemented feature requests 708772, 708781
* Added unit tests.
* Fixed a bug in the BestChromosomesSelector and WeightedRouletteSelector
  classes

[JGAP-announce] JGAP 1.0 Released!

[Neil R. <ne...@bl...>]

JGAP is a genetic algorithms package written in Java. It is designed to
require minimum effort to use "out of the box," but is also designed to be
highly modular to allow for custom components to be easily plugged in by
the more adventurous.
 
JGAP 1.0 represents the first production release of JGAP after over two 
years of development, testing, alpha and beta releases! Changes in this 
release are directed at maximizing code stability. 

Version 1.0 of JGAP can be downloaded from the JGAP home page, which
can be found at http://jgap.sourceforge.net
 
If you run into any problems or have any questions, we encourage you to
send an email to the jgap-users mailing list at:
 
      jga...@li...
 
Thanks for trying JGAP!
--The JGAP Team

Changelog for version 1.0
-------------------------
* A RuntimeException is now thrown if a fitness function attempts to
  return a non-positive fitness value.
* Fixed a bug in the WeightedRouletteSelector that, under certain
  circumstances, resulted in a fatal "logic error" exception.
* Updated the sample fitness function to ensure that it never
  returns a non-positive fitness value.
* Added author and since tags to the class-level javadoc of each 
  class.

[JGAP-announce] JGAP 1.0-RC2 Released

[Neil R. <ne...@bl...>]

JGAP is a genetic algorithms package written in Java. It is designed to
require minimum effort to use "out of the box," but is also designed to be
highly modular to allow for custom components to be easily plugged in by
the more adventurous.
 
JGAP 1.0 Release Candidate 2 (1.0-RC2 for short) is the second beta
release of JGAP. Changes in this release are directed at fixing issues 
reported in the first release candidate and increasing the clarity of the 
documentation in anticipation of the final 1.0 release. 

Version 1.0-RC2 of JGAP can be downloaded from the JGAP home page, which
can be found at http://jgap.sourceforge.net
 
If you run into any problems or have any questions, we encourage you to
send an email to the jgap-users mailing list at:
 
      jga...@li...
 
Thanks for trying JGAP!
--The JGAP Team

Changelog for version 1.0-RC2
-----------------------------
* Added new BulkFitnessFunction class, which can be used to create
  fitness functions that evaluate an entire working pool of chromosomes
  all at once.
* Fixed hashCode() in Chromosome class so that it is no longer dependent
  on the fitness function.
* Java serialization of Genotypes and Chromosomes is now working properly.
* Added a FAQ document.
* Updated various documentation.
* Updated the README file.

[JGAP-announce] JGAP 1.0-RC1 Released

[Neil R. <ne...@bl...>]

JGAP is a genetic algorithms package written in Java. It is designed to
require minimum effort to use "out of the box," but is also designed to be
highly modular to allow for custom components to be easily plugged in by
the more adventurous.

JGAP 1.0 Release Candidate 1 (1.0-RC1 for short) is the first beta release
of JGAP. Changes in this release are directed at further stablizing the
code, making the API more consistent and easier to use, and increasing the
clarity, accuracy, and coverage of the documentation. As of this release,
the API is considered feature-complete and frozen for version 1.0. 

Version 1.0-RC1 of JGAP can be downloaded from the JGAP home page, which
can be found at http://jgap.sourceforge.net

If you run into any problems or have any questions, we encourage you to
send an email to the jgap-users mailing list at:

     jga...@li...

Thanks for trying JGAP!
--The JGAP Team


Changelog for version 1.0-RC1
-----------------------------
* Added new document on using the XMLManager to marshall populations
  into XML representations that can be used for persistence, transmission,
  etc.
* Renamed Allele class to Gene class and updated all of the source files
  accordingly to fix source and documentation.
* Renamed Gene.setValue() and Gene.getValue() methods to Gene.setAllele()
  and Gene.getAllele(), respectively.
* Renamed IntegerAllele to IntegerGene, BooleanAllele to BooleanGene,
  and AlleleCreationException to GeneCreationException.
* Removed the MakeChange.java and MakeChangeFitnessFunction.java files
  from the examples directory, as they added very little value given
  the presence of the MinimizingMakeChange.java and 
  MinimizingMakeChangeFitnessFunction.java files.
* Fixed default constructor in IntegerGene so that it will no longer
  result in an ArithmeticException.
* Fixed compareTo() method in IntegerGene.
* Added hashCode() method to IntegerGene and BooleanGene.
* Made various other minor fixes.
* Removed the TestGenetics and TestXML examples.
* Updated introductory documentation.
* Updated various javadocs to increase clarity and accuracy.
* Updated the README file.

[JGAP-announce] JGAP 0.32 Released

[Neil R. <ne...@bl...>]

JGAP 0.32 is a maintenance release that primarily includes optimizations
to increase performance and reduce memory consumption. Minor enhancements
and fixes, as well as additions to the documentation, are also included.  
Please see the list of changes included at the end of this announcement
for an overview of fixes and enhancements contained in this release.

Please note that version 0.32 is considered an alpha release and is
therefore not feature complete and may contains bugs.

Version 0.32 of JGAP can be downloaded from the JGAP home page, which can
be found at http://jgap.sourceforge.net

If you run into any problems or have any questions, we encourage you to
send an email to the jgap-users mailing list at:
jga...@li...

Thanks for trying JGAP!
--The JGAP Team


Changelog for version 0.32
--------------------------

* Added new document on creating custom Alleles in the docs/ 
  subdirectory.
* Modified WeightedRouletteSelector to represent the "wheel" as an 
  array just prior to selection of Chromosomes in order to increase
  iteration speed.
* Modified ReproductionOperator to simply add the Chromosomes from 
  the population directly into the pool of candidate chromosomes, 
  rather than making a copy of each one and adding the copy, in order
  to increase speed and reduce memory consumption.
* Switched pooling from Alleles to Chromosomes. Removed AllelePool
  class and added ChromosomePool class. Also added generic Pool class,
  which ChromosomePool uses.
* WeightedRouletteSelector now pools its internal SlotCounter 
  instances to save memory.
* Updated various Javadocs and comments that were dated, less 
  helpful, or simply wrong.
* Made various minor code changes to increase efficiency or improve 
  readability.
* Modified TestGenetics to only display the most fit Chromosome at 
  the end, rather than dumping the entire Genotype.
* Added "debug" target to Ant build script so that debug versions of
  the JGAP classes can be easily built.
* Updated the copyright notices on all files.
* Updated the README file.

[JGAP-announce] JGAP 0.31 Released

[Neil R. <ne...@bl...>]

JGAP 0.31 is a maintenance release that fixes a serious bug that could
result in corrupted Allele state. Other minor fixes and enhancements are
also included. It is highly recommended that version 0.3 users upgrade to
version 0.31. Please see the list of changes included at the end of this
announcement for an overview of fixes and enhancements contained in this
release.

Please note that version 0.31 is considered an alpha release and is
therefore not feature complete, not optimized, and probably contains bugs.

Version 0.31 of JGAP can be downloaded from the JGAP home page, which can 
be found at http://jgap.sourceforge.net

If you run into any problems or have any questions, we encourage you to 
send an email to the new jgap-users mailing list at 
jga...@li...

Thanks for trying JGAP!
--The JGAP Team


Changelog for version 0.31:
---------------------------

* Fixed AllelePool to discriminate between alleles intended for
  different gene positions so that position-specific configurations 
  will be preserved. Thanks to Alexandre Freire for reporting this
  bug.  
* AllelePool is no longer a static class.  
* The Configuration object now supports the AllelePool as an 
  optional configurable option, and the various JGAP components 
  now access the pool instance via the active Configuration. The 
  DefaultConfiguration utility class automatically sets up an 
  AllelePool instance.
* The Allele.setValueFromStringRepresentation() method has been
  renamed to setValueFromPersistentRepresentation() and may now throw
  an UnsupportedOperationException for users who do not wish to take 
  advantage of XML persistence and do not want to bother providing an 
  implementation for this method.
* An Allele.getPersistentRepresentation() method has been added to 
  the Allele interface and should be implemented to provide a String 
  representation of the Allele that is suitable for XML persistence 
  and could be later used to reconstruct the Allele. Previously, the
  toString() method was used for this purpose.
* IntegerAllele and BooleanAllele have been updated to conform to the 
  changes to the Allele interface.
* The XMLManager.getGenesFromElement() method now requires that the 
  active Configuration object be passed in.
* Made minor Javadoc fixes and code formatting changes, and removed 
  some dead code.
* Updated the README file.

[JGAP-announce] New jgap-users List

[Neil R. <ne...@bl...>]

A new mailing list entitled "jgap-users" has been created to provide an 
open forum where users of JGAP can freely ask questions, make suggestions, 
and participate in general discussions about JGAP.

To subscribe to this list, please visit the JGAP Mailing List Manager at:

     http://sourceforge.net/mail/?group_id=11618

Thanks,
The JGAP Team

[JGAP-announce] JGAP 0.3 Released

[Neil R. <ne...@bl...>]

The JGAP Team is pleased to start the new year with the release of JGAP
0.3. This release fixes a few bugs and adds some exciting new features,
including oft-requested support for custom alleles and a more flexible
event model. Please see the Changelog for details.

Please note that this is an alpha release and, as such, is not feature
complete, is not optimized, and probably contains bugs.

Version 0.3 of JGAP can be downloaded from the JGAP home page, which can
be found at http://jgap.sourceforge.net

If you run into any problems or have any questions, please feel free to
send an email to the JGAP team at jga...@li...

Thanks for trying JGAP!
--The JGAP Team

[JGAP-announce] JGAP 0.21 Released

[Neil R. <ne...@bl...>]

The JGAP Team is pleased to announce the release of JGAP 0.21. This 
release builds upon the 0.2 API, adding support for XML persistence, an 
event system, a new default natural selection algorithm, and various minor 
enhancements and fixes. Please see the Changelog for details.

Please note that this is an alpha release and, as such, is not feature 
complete, is not optimized, and probably contains bugs.

If you run into problems or have any questions, please feel free to send 
an email to the JGAP team at jga...@li....

Thanks for trying JGAP!
--The JGAP Team

[JGAP-announce] JGAP 0.2 Released

[Neil R. <ne...@bl...>]

The JGAP team is pleased to announce the release of version 0.2 of the
Java Genetic Algorithms Package. Version 0.2 provides increased stability
and modularity, as well as some interesting features such as a genetic
operator plug-in system, flexible configuration mchanism, and thread
safety. Please see the Changelog for a list of all improvements and bug
fixes.

It should be noted that the version 0.2 API is not fully
backward-compatible with the version 0.1 API. Please consult the README 
file and javadocs for information on using the new API. All available 
documentation can also be found on the JGAP web site at 
http://jgap.sourceforge.net

Finally, version 0.2 is an alpha release. It is not feature complete, is 
not optimized, and probably contains bugs.

If you have any questions about JGAP, or encounter any problems, please 
send an email to jga...@li...

Thanks for trying JGAP!

--The JGAP team

[JGAP-announce] JGAP version 0.1

[Neil R. <ne...@bl...>]

The JGAP team is pleased to announce the release of version 0.1. This
represents the first alpha release of JGAP. It should be noted that,
since this is an alpha release, it is not feature complete and probably
contains bugs.

The JGAP 0.1 distribution is available in both zip and gzipped tar
archive formats. Both contain identical contents, so choose whichever is
most convenient for you on your particular platform. To download, please
follow the links on the JGAP Project Page, which can be found at:

  http://www.sourceforge.net/projects/jgap

For more information on JGAP, including any available documentation,
please see the JGAP home page at http://jgap.sourceforge.net

Thanks,
The JGAP Team