Abstract
While crossover is generally accepted as an explorative operator in string based G.A.s (Goldberg, 1989), the benefit or otherwise of employing crossover in tree based Genetic Programming is often disputed. Work such as (Collins, 1992) went as far as to dismiss GP as a biological search method due to its use of trees, while (Angeline, 1997) presented results which suggested that crossover in GP can provide little benefit over randomly generating subtrees.
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© 2003 Springer Science+Business Media New York
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O’Neil, M., Ryan, C. (2003). Crossover in Grammatical Evolution. In: Grammatical Evolution. Genetic Programming Series, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0447-4_7
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DOI: https://doi.org/10.1007/978-1-4615-0447-4_7
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