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In this study, we synthesize a novel dynamical approach for ant coloniesenabling them to migrate to new nest sites in a self-organizing fashion. Inother words, we realize ant colony migration as a self-organizingphenotype-level collective behavior. For this purpose, we first segment theedges of the graph of ants' pathways. Then, each segment, attributed to its ownpheromone profile, may host an ant. So, multiple ants may occupy an edge at thesame time. Thanks to this segment-wise edge formulation, ants have moreselection options in the course of their pathway determination, therebyincreasing the diversity of their colony's emergent behaviors. In light of thecontinuous pheromone dynamics of segments, each edge owns a spatio-temporalpiece-wise continuous pheromone profile in which both deposit and evaporationprocesses are unified. The passive dynamics of the proposed migration mechanismis sufficiently rich so that an ant colony can migrate to the vicinity of a newnest site in a self-organizing manner without any external supervision. Inparticular, we perform extensive simulations to test our migration dynamicsapplied to a colony including 500 ants traversing a pathway graph comprising200 nodes and 4000 edges which are segmented based on various resolutions. Theobtained results exhibit the effectiveness of our strategy.

Self-organizing nest migration dynamics synthesis for ant colony systems