CamOptimus

  • Ayca Cankorur-Cetinkaya (Contributor)
  • Joao M. L. Dias Cambridge University Hospitals NHS Foundation Trust (Contributor)
  • Jana Kludas (Contributor)
  • Nigel K. H. Slater (Contributor)
  • Juho Rousu (Contributor)
  • Stephen G. Oliver (Contributor)
  • Duygu Dikicioglu (Contributor)

Dataset

Description

CamOptimus is a tool for applying Genetic Algorithm (GA) to solve multi-parametric optimisation problems and Symbolic Regression (SR) to obtain models using the data generated during optimisation procedure to investigate the effect of individual parameters on the system of interest. The source code for the compiled software, and the Graphical User Interface (GUI) of the application are available under free licensing (GNU General Public License v3.0). The user manual is supplied in the compressed folder.
Date made available1 Jan 2016
PublisherApollo - University of Cambridge Repository

Research Output

CamOptimus: a tool for exploiting complex adaptive evolution to optimize experiments and processes in biotechnology

Cankorur-Cetinkaya, A., Dias, J. M. L., Kludas, J., Slater, N. K. H., Rousu, J., Oliver, S. G. & Dikicioglu, D., 2017, In : MICROBIOLOGY. 163, 6, p. 829-839 11 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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  • 7 Citations (Scopus)
    38 Downloads (Pure)

    Cite this

    Cankorur-Cetinkaya, A. (Contributor), Dias, J. M. L. (Contributor), Kludas, J. (Contributor), Slater, N. K. H. (Contributor), Rousu, J. (Contributor), Oliver, S. G. (Contributor), Dikicioglu, D. (Contributor) (1 Jan 2016). CamOptimus. Apollo - University of Cambridge Repository . 10.17863/cam.10257