Lihoreau, Mathieu, Chittka, Lars, Le Comber, Steven and Raine, Nigel (2012) Bees do not use nearest-neighbour rules for optimization of multi-location routes. Biology Letters
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Animals collecting patchily distributed resources are faced withcomplexmulti-location routing problems. Rather than comparing all possible routes, they often find reasonably short solutions by simply moving to the nearest unvisited resources when foraging. Here, we report the travel optimization performance of bumble-bees (Bombus terrestris) foraging in a flight cage containing six artificial flowers arranged such that movements between nearest-neighbour locations would lead to a long suboptimal route. After extensive training (80 foraging bouts and at least 640 flower visits), bees reduced their flight distances and prioritized shortest possible routes,whilealmost never following nearest-neighbour solutions. We discuss possible strategies used during the establishment of stable multi-location routes (or traplines), and how these could allow bees and other animals to solve complex routing problems through experience, without necessarily requiring a sophisticated cognitive representation of space.
This is a Submitted version This version's date is: 2012 This item is not peer reviewed
https://repository.royalholloway.ac.uk/items/7716f12b-acda-b799-15a0-0306c48edd36/1/
Deposited by Research Information System (atira) on 29-Jun-2012 in Royal Holloway Research Online.Last modified on 29-Jun-2012