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PubMed · 9390254

A case study where biology inspired a solution to a computer science problem.

J R Koza·D Andre
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Abstract

This paper describes how the biological theory of gene duplication described in Susumu Ohno's provocative book, Evolution by Means of Gene Duplication, was brought to bear on a vexatious problem from the domain of automated machine learning, namely the problem of architecture discovery. Six new architecture-altering operations for genetic programming were motivated by the way that new biological structures, functions, and behaviors arise in nature using gene duplication. Genetic programming with the new architecture-altering operations was then applied to the transmembrane protein segment identification problem. The out-of-sample error rate for the best genetically-evolved program achieved was slightly better than that of previously-reported human-written algorithms for this problem.

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Amino Acid SequenceArtificial IntelligenceComputational BiologyComputer SimulationGene DeletionModels, GeneticMultigene FamilyProteinsSelection, GeneticSoftwareComparative StudyJournal Article

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J R Koza, D Andre. 1996. A case study where biology inspired a solution to a computer science problem.. https://pubmed.ncbi.nlm.nih.gov/9390254/

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