Morphogenetic engineering for evolving ant colony pheromone communication

Neil Vaughan

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

    Abstract

    This research investigates methods for evolving swarm communication in a simulated colony of ants using pheromone when foriaging for food. This research implemented neuroevolution and obtained the capability to learn pheromone communication autonomously. Building on previous literature on pheromone communication, this research applies evolution to adjust the topology and weights of an artificial neural network which controls the ant behaviour. Comparison of performance is made between a hard-coded benchmark algorithm, a fixed topology ANN and neuroevolution of the ANN topology and weights. The resulting neuroevolution produced a neural network which was successfully evolved to achieve the task objective, to collect food and return it to the nest.
    Original languageEnglish
    Title of host publicationProceedings of AISB Annual Convention 2018
    Publication statusPublished - 4 Apr 2018

    Fingerprint Dive into the research topics of 'Morphogenetic engineering for evolving ant colony pheromone communication'. Together they form a unique fingerprint.

    Cite this