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Genetic programming

🌐 public · created AE531128 (28.11.2023) · by DDH · open in the standard editor view · 📽 open as presentation

baumhaus.digital/Design & Computation/Perspectives in Engineering/IOPS/Nature-inspired heuristics/Evolutionary optimization/Genetic programming
Genetic Programming (GP) is a type of evolutionary optimization where programs themselves evolve to solve problems. Imagine a computer automatically writing and modifying its own code to get better at a task. In GP, each 'individual' is a computer program. These programs are tested for their ability to solve a problem, and the best ones are modified (mutated) or combined (crossed over) to create new programs. Over generations, this process evolves programs that become increasingly effective at the task.

Ancestors (1 superordinated path)