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Morphogenetic Engineering For Evolving Ant Colony Pheromone Communication
Vaughan, Neil
Vaughan, Neil
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2018-04-06
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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.
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Vaughan, N. (2018). Morphogenetic engineering For evolving ant colony pheromone communication In Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB 2018): Proceedings of the AISB2018 conference, 4-6 April 2018, University of Liverpool (pp. 218-325). Bath, United Kingdom: Society for the Study of Artificial Intelligence and Simulation for Behaviour.
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The Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB)
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Conference Contribution
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en
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9781510872769