Okie... for the benefits of those who would like to find out more about Genetic Algorithms (GA), here's some useful links... but to those who wanted to find out how I use GA for real-time/near-real-time applications, haha... sorrie, it's still confidential (so I will keep my mouth shut for the time being). Furthermore, I also don't know if it will work or not, say so much also no use right? ;p
GAlib v2.4.6 (Would like to specifically recommend this since I'm using it...)
GAlib contains a set of C++ genetic algorithm objects. The library includes tools for using genetic algorithms to do optimization in any C++ program using any representation and genetic operators. The documentation includes an extensive overview of how to implement a genetic algorithm as well as examples illustrating customizations to the GAlib classes.Mathtools.net > Genetic Algorithms >This is a technical computing portal for all scientific and engineering needs... can find lots of GA codes in C, C++, Matlab, Java, Fortran, Excel, and Visual Basic.Multi-objective NSGA-II code in C (Developed at KanGAL)
Others software available for download in the link above include:Simple GA code in C Single-objective GA code in C (Real + Binary + Constraint Handling)Epsilon-MOEA in C and C++ Basic Differential Evolution (DE) in CLabels: research