Here are the most relevant sources and types of code to fulfill the requirement for a Genetic Algorithm (GA) component:

Another commonly used basic Genetic Algorithm implementation, particularly focused on Binary GA, is available through Yarpiz.com .

If you are looking for specific crossover operators for Genetic Algorithms, technical documentation on the "TransRAR" operator can be found in GECCO proceedings .

Note: The file names listed in ResearchGate (picofile.com) may be older, so official repository links (MathWorks/Yarpiz) are generally more reliable for finding current GA implementations.

To give you the exact "piece" or code you need, could you clarify: m ), ( .py ), or another language?