Introns for accelerating quasi-macroevolution

研究成果: Article査読

6 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)398-405
ページ数8
ジャーナルJSME International Journal, Series C: Dynamics, Control, Robotics, Design and Manufacturing
41
3
DOI
出版ステータスPublished - 1998 9
外部発表はい

ASJC Scopus subject areas

  • Engineering(all)

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