Answer: GP is a set of instructions and a fitness function to measure how well a
computer has performed a task. It is a specialization of genetic algorithms (GA)
where each individual is a computer program. It is a machine learning technique
used to optimize a population of computer programs according to a fitness
landscape determined by a program’s ability to perform a given computational
task. In artificial intelligence, genetic programming (GP) is an evolutionary
algorithm-based methodology inspired by biological evolution to find computer
programs that perform a user-defined task.
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