All releases of Genetic Algorithm File Fitter
Release Notes: This release features major changes. The genetic algorithm search was completely rewritten, and now adopts a more suitable approach able to perform better optimizations. Some options were modified/added in order to improve GAFFitter as a filter, making integration with other tools easier and more reliable. Python scripts were added, including scripts for ISO 9660 image creation and integration of GAFFitter with CD/DVD burning applications (like K3B and Brasero).
Release Notes: This release was essentially a maintenance release. The license was upgraded to the GNU GPLv3. The Brute Force search was improved and now accepts any number of input files. An incompatibility (compilation error) with GCC-4.3 was fixed.
Release Notes: This release fixes a bug regarding an uninitialized variable and changes the default behavior of GAFFitter, which now extracts the volumes as much as possible (with unlimited iterations).
Release Notes: This release features an entirely new command line parser and implements the Split "search" method. Two new formatting options have been introduced. There are also code cleanups, a fix for a compilation error on Solaris, and other minor changes.
Release Notes: This release fixes compilation errors on some architectures. A case-insensitive sorting option was added, and other minor changes were also made.
Release Notes: This version adds the ability to sort the output by name or size, ascending/descending, and fixes some minor bugs. There were also minor improvements, code cleanups, and cosmetic changes.
Release Notes: This version implements a direct input mode, allowing the user to enter "size identifier" pairs directly instead of file/dir names. Two new genetic operators were introduced, resulting in an expressive genetic algorithm improvement. There were also some minor changes and bugfixes.
Release Notes: This release features native "file/directory space usage" code, thus eliminating the requirement to have 'du' (coreutils) installed. There were also some genetic algorithm enhancements and performance improvements.
No changes have been submitted for this release.
