Selection refers to the process by which certain individuals or designs are favored over others based on their performance or fitness in a given environment. This concept is crucial as it drives the evolution of solutions, allowing for the refinement and improvement of robotic designs through iterative evaluation. The ability to select the best performers ensures that beneficial traits are retained and propagated, shaping the direction of evolutionary processes.
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