Medical Applications of Cartesian Genetic Programming

Smith, Stephen L.; Walker, James Alfred; Miller, Julian F.

doi:10.1007/978-3-319-67997-6_12

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2019

2022

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Cited by 3 publications

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“…Thus, it remains unclear whether ICCGP offers any computational benefits. Despite this ICCGP has been extensively and successfully applied to various problems in medical diagnostics [56,58,59,93,94,[96][97][98].…”

Section: Implicit Contextmentioning

confidence: 99%

Cartesian genetic programming: its status and future

Miller

2019

Genet Program Evolvable Mach

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Cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational problems as graphs. Its genetic encoding includes explicitly redundant genes which are wellknown to assist in effective evolutionary search. In this article, we review and compare many of the important aspects of the method and findings discussed since its inception. In the process, we make many suggestions for further work which could improve the efficiency of the CGP for solving computational problems.

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