MATLAB GADS Toolbox: Genetic Algorithm and Direct Search Toolbox

Application Background: Using MATLAB-based genetic algorithm toolboxes is highly convenient as they provide comprehensive function libraries for evolutionary computation. Popular toolboxes include GATBX and GAOT from the University of Sheffield, and MathWorks' GADS (Genetic Algorithm and Direct Search Toolbox), which is MATLAB's built-in optimization toolkit. Many users encounter function call issues due to toolbox differences, particularly when mixing GATBX functions with GADS environments. Key Technology: MATLAB's native genetic algorithm implementation through GADS differs from third-party toolboxes in function libraries and syntax, requiring specific path configuration and version compatibility checks for proper code execution.

MATLAB Genetic Algorithm Toolbox and Applications

1. Attachment structure: gatbx.rar contains: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar. 2. Debugging was performed using MATLAB version 6.5. The gatbx-toolbox is the toolbox used during debugging - while some enthusiastic researchers have already provided this toolbox, it's reposted here because version 6.5 would generate error messages during debugging, which have been corrected in this version. To use this toolbox, simply add the gatbx and gatbxTest_fns folders from the compressed package to MATLAB's search path. Additionally, gatbx-origin is the original toolbox version provided by Sheffield University without any modifications, allowing for comparison between versions.