Models of Genetic Programming (GP) frequently reflect a neo-Darwinian view to evolution in which inheritance is based on a process of gradual refinement and the resulting solutions take the form of single monolithic programs. Conversely, introducing an explicitly symbiotic model of inheritance makes a divide-and-conquer metaphor for problem decomposition central to evolution. Benchmarking gradualist versus symbiotic models of evolution under a common evolutionary framework illustrates that not only does symbiosis result in more accurate solutions, but the solutions are also much simpler in terms of instruction and attribute count over a wide range of classification problem domains. Copyright 2010 ACM.
CITATION STYLE
Lichodzijewski, P., & Heywood, M. I. (2010). Symbiosis, complexification and simplicity under GP. In Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO ’10 (pp. 853–860). https://doi.org/10.1145/1830483.1830640
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