Symbiosis, complexification and simplicity under GP
作者： Peter Lichodzijewski , Malcolm I. Heywood
关键词:
摘要: Models of Genetic Programming (GP) frequently reflect a neo-Darwinian view to evolution in which inheritance is based on process gradual refinement and the resulting solutions take form single monolithic programs. Conversely, introducing an explicitly symbiotic model makes divide-and-conquer metaphor for problem decomposition central evolution. Benchmarking gradualist versus models under common evolutionary framework illustrates that not only does symbiosis result more accurate solutions, but are also much simpler terms instruction attribute count over wide range classification domains.
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