Bumblebees regularly tackle the Travelling Salesman Problem to improve their foraging routes, a skill that promises to yield solutions in the fields of robotics and logistics
Few people draw a parallel between bumblebees and travelling salesmen but that’s what comes after months of tracking the flight paths of the pollinators as they forage for food in and around an array of artificial flowers in the fields within Rothamsted Research.
Bees, like those archetypal salesmen it seems, refine their routes around multiple destinations and, in the process, provide insights into analogous problems in logistics and robotics and into how land might be used more efficiently, reveals research published today in Scientific Reports.
“We tempted the bees with shortcuts between feeding stations that increased the total distance they travelled to visit all the feeders,” says Joe Woodgate, lead author from Queen Mary University of London, which drew on Rothamsted’s technical expertise as well as its landscape for the research.
“We then watched as they explored different flight paths around the feeders and developed habitual routes,” notes Woodgate, who is a postdoctoral researcher in QMUL’s School of Biological and Chemical Sciences.
The team found that, initially, the bees often fell for the trick, opting for short-term gain over long-term pain. But they gradually refined their flight paths, reducing their overall travel distance, though without visiting the feeders in the best possible order.
“In this study, we took the unusual step of following individuals continuously as they gradually developed solutions to a spatial problem; previous work relied on only a few snapshots of the bees’ activity,” notes Woodgate.
He adds: “The result is one of the largest and most complete datasets on bee flight ever recorded and provides an in-depth look at route development for the first time ever.”
The team used harmonic radar to track 6 bumblebees making 201 flights in total; a tiny transponder on the bee doubles the frequency of the incoming signal to the next harmonic so that the reflected signals from the bee can be distinguished from reflections from elsewhere
“We tracked every single foraging flight that the bees undertook as they learned about the feeder array, with the radar telling us the position of the bee every three seconds, to an accuracy of 2 metres,” says Woodgate.
He adds: “Animals cannot inspect a map to find out where the best food sources are or plan how to get to them; instead, they must explore the landscape, discovering locations one by one, and then they face the challenge of integrating their spatial memories into an efficient route.
“Only by following the flight paths of bees as they explore and try to generate better routes can we start to truly understand how animals solve route optimisation problems.”
The radar tracks have yielded videos, in the form of animated heatmaps, that show the routes taken by the bees as they foraged. These heatmaps demonstrate graphically how some segments of route became habitual while other explorations were forgotten as preferred flight paths evolved.
“Understanding how small-brained animals like bees find efficient rules-of-thumb to accomplish complex and flexible behaviours has great potential to inform the development of AI and advanced robots,” says James Makinson, co-author and Woodgate’s fellow postgraduate researcher at QMUL.
“It’s also important to understand how bees and other pollinating insects search for food and use the landscape,” notes Makinson. Such knowledge, he says, “is crucial to managing the risks to pollinator services posed by habitat loss and agricultural intensification.”
Pollinator services are threatened by intensification, fragmentation and habitat loss, says Andy Reynolds, theoretical physicist at Rothamsted and the team’s data analyst. “Accessing and forecasting these risks requires an understanding of how pollinators use the landscape.”
The global economic value of ecosystem services is worth around 10% of global food production, or over $200 billion, according to Jason Lim, the team’s senior electronics and radar engineer at Rothamsted.
He adds: “The need to understand the movement of both migratory insect pests and pollinators is more important than ever if the current agricultural food production is going to feed a human population of 10 billion by 2050.”
