Introns for Accelerating Quasi-Macroevolution.
Ken Naitoh · JSME International Journal Series C · 1998
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.