Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Predicting protein structural features with artificial neural networks
Artificial intelligence and molecular biology
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
A new class of function sets for solving sequence problems
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
A new class of function sets for solving sequence problems
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
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This paper applies a new extension to genetic programming (Handley 1996, this volume) to a problem on which genetic programming has previously been applied (Handley 1994). The problem is to predict the degree of exposure to solvent (the buriedness) of a protein's amino acid residues given only the protein's primary structure. The best programs evolved are better than the programs evolved in an earlier set of experiments that used a problem-specific ad-hoc function set (Handley 1994).