In artificial intelligence, genetic programming (GP) is a technique of evolving programs, starting from a population of unfit (usually random) programs, fit for a particular task by applying operations analogous to natural genetic processes to the population of programs. The operations are: selection of the … See more The first record of the proposal to evolve programs is probably that of Alan Turing in 1950. There was a gap of 25 years before the publication of John Holland's 'Adaptation in Natural and Artificial Systems' laid out … See more Program representation GP evolves computer programs, traditionally represented in memory as tree structures. … See more Meta-genetic programming is the proposed meta-learning technique of evolving a genetic programming system using genetic programming itself. It suggests that … See more • Aymen S Saket & Mark C Sinclair • Genetic Programming and Evolvable Machines, a journal • Evo2 for genetic programming • GP bibliography See more Early work that set the stage for current genetic programming research topics and applications is diverse, and includes software synthesis and repair, predictive modeling, data mining, financial modeling, soft sensors, design, and image processing. … See more GP has been successfully used as an automatic programming tool, a machine learning tool and an automatic problem-solving engine. GP is especially useful in the domains where … See more • Bio-inspired computing • Cartesian genetic programming • Covariance Matrix Adaptation Evolution Strategy (CMA-ES) See more WebBecause we are genetically programmed to find trees, plants, water, and other nature elements engrossing, we are absorbed by nature scenes and distracted from our pain …

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Genetic programming - Wikipedia

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