White Papers

The Application of Genetic Programming to General Purpose GPU Computation

Overview Genetic programming is a natural computing approach developed by John Koza. It differs from many earlier approaches in that it has no phenotype/genotype distinction. In the traditional GA for example individuals are represented at the genotype level by a bit vector. The genetic operations of crossover and mutation are performed on this bit vector. The fitness of the individual is determined by interpreting the values of the bit vector in the context of the problem domain - effectively the analogue of the biological phenotype mapping from DNA. In Genetic Programming however the individual is the implementation of the solution in a programming language. The fitness is determined by simply evaluating the individual and rating its suitability.

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Publisher: University College Dublin
File Format: PDF
Date Published: Jan 9, 2009
Format: White Papers
Topics: Programming Languages, Software Engineering

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