Evolutionary design of oscillatory genetic networks in silico

Yuki Naruse, Hiroyuki Hamada, Taizo Hanai, Hitoshi Iba

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


The design of genetic networks has been studied for implementing desired biological systems, and in particular, some researchers have proposed automatic design methods using optimization techniques. However, it is difficult to implement genetic networks designed by previous methods due to overly simplified model descriptions whose parameters are infeasible in the real world. Additionally, the methods do not ensure robustness against parameter perturbation. In this paper, we propose a two-stage design method and a fitness function evaluating robustness to create genetic networks which can be implemented experimentally. Further, we suggest the knowledge about robust network structures from results of optimization.

Original languageEnglish
Title of host publication2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781479974924
Publication statusPublished - Sept 10 2015
EventIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
Duration: May 25 2015May 28 2015


OtherIEEE Congress on Evolutionary Computation, CEC 2015

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computational Mathematics


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