Abstract
The automated generation of controllers for real-world autonomous agents by means of evolutionary methods has recently attracted a lot of attention. Most of the pertinent research has employed genetic algorithms or variations thereof. We have applied a different evolutionary method to the generation of a control architecture for Braitenberg vehicles, namely “evolutionary strategies”. The application of the ES accelerates the development of such controllers by more than one order of magnitude (a few hours compared to more than two days). This result is very important, since the development process is to be done in real systems. In addition to the dramatic speedup, there is an important theoretical reason for preferring evolutionary strategy over genetic algorithms, namely epistatic interaction.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
