Research data supporting "A Tool for Exploiting Complex Adaptive Evolution to Optimise Protocols for Biological Experiments"


Change log
Authors
CANKORUR-CETINKAYA, A 
DIAS, JML 
KLUDAS, J 
SLATER 
ROUSU, J 
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.

Important information: access to the files for this software has been restricted as they are out of date. The software is available on Github, where updated documentation and new releases are available. https://github.com/DuyguD.

Version
Software / Usage instructions
Requires MATLAB Runtime Installer (version 9.0.1)
Keywords
Evolutionary Algorithm, Genetic Algorithm, Symbolic Regression, Experimental Design
Publisher
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/K011138/1)
European Commission (289126)
The University of Cambridge Synthetic Biology Research Initiative [SynBio Fund: CamOptimus] to DD, ACC, JMLD
Relationships
Supplements:
Is new version of: