Presentation at GECCO2002 NY: Jumping Mutators Increase Efficiency of Evolutionary Search (original) (raw)

Abstract

Genetic Algorithms (GA) and Genetic Programming were inspired by ideas from evolutionary biology. However modern Evolutionary Computation (EC) only in outline reminds the strategies of biological evolution. The application of other algorithms and biological ideas may substantially improve the performance of this area of computer science. Namely, the selfish (or parasitic) mobile genetic elements - transposons are good candidates for this breakthrough. These genomic parasites live on a substratum of genomes of whole biological communities. Many biologists assume that processes in the world of transposons are the main source of evolution creativity.

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