Introns for accelerating quasi-macroevolution

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)398-405
Number of pages8
JournalJSME International Journal, Series C: Dynamics, Control, Robotics, Design and Manufacturing
Volume41
Issue number3
Publication statusPublished - 1998 Sep
Externally publishedYes

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Genetic algorithms
Experiments

Keywords

  • Artificial Intelligence
  • Introns
  • Optimum Design
  • Probabilistic Method
  • Quasi-Macroevolution
  • Simple Genetic Algorithm

ASJC Scopus subject areas

  • Engineering(all)
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

Cite this

Introns for accelerating quasi-macroevolution. / Naitoh, Ken.

In: JSME International Journal, Series C: Dynamics, Control, Robotics, Design and Manufacturing, Vol. 41, No. 3, 09.1998, p. 398-405.

Research output: Contribution to journalArticle

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