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|Problems||csp - fixes|
|TestApps||csp - window scrolling|
|source||stats tracker preparation during population initalization|
|.gitignore||csp - initial algorithm and new test dlg|
|GALex.sln||csp - test application|
|GALex.vcxproj.filters||fixing broken references|
============================= GALex pre-alpha release notes ============================= ----------- About GALex ----------- GALex stands for 'Genetic Algorithms Library Extended'. As its name suggests it's a library that provides building blocks for developing genetic algorithms in C++. ------------- About release ------------- This is pre-alpha release of GALex aimed to get feedback from developers. There are some issues to be resolved, changes to be made and a lot of testing to be done. This release contains all the features intended for the final release, but some of them might not actually work. Your feedback is important, so if you have any questions, please send mail to kataklinger[at]gmail[dot]com. Actual TODO list will hopefully come soon. ----------- What is new ----------- GALex is built on an older library simply called "Genetic Algorithms Library" or "GAL" but with major changes done to the core that simply changing version number was not enough. Some of the major changes: - custom fitness/objective values which now supports multi-objective optimization [MOO] - better support for customization and parallel execution of algorithms with workflow concepts implemented by the library - added implementations of many popular MOO GAs like NSGA(2), SPEA(2), PAES, PESA(2), RDGA... multi-objective optimization - framework for implementing multi-population GA and custom migrations - better control and support for building custom chromosome representations - many changes to the core and support classes ------------- Documentation ------------- As it stands now, your best source of information is source code itself as it contains decent amount of comments. _ALL_ classes, structures, functions, members, private or public and macros etc. are documented. HTML documentation (generated from code comments) will come soon. Also some basic examples are available in the package, but in a mean time you can look at the article describing internal workings of the previous library which is available at CodeProject. http://www.codeproject.com/Articles/26203/Genetic-Algorithm-Library ------- License ------- Source code is distributed according to GPL2 license. Terms of the license are available in gpl-2_0.txt file.