Introns for Accelerating Quasi-Macroevolution

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概要

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• Computational experiments are performed with the simple genetic algorithm(SGA)for a wide range of intron lengths, crossover rates, mutation rates, and replication rates.The best-adapted species emerges widely with a critical intron length proportional to the overall crossover rate in an environment of discontinuous evolution(quasi-macroevolution).This result coincides with the relation between the intron length and mating rate observed in actual Eukaryotes.On the basis of this knowledge, a method for optimizing the crossover rate in the SGA is proposed for the purpose of accomplishing artificial macroevolution in engineering problems.

• 一般社団法人日本機械学会の論文
• 1998-09-15

著者

• Naitoh Ken

  Nissan Research Center

関連論文

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• Macroscopic Kinetic Equation for a Genetic Algorithm

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