Dr Schönrogge added, "Ant foraging behaviour has previously been modelled by computer scientists and ecologists, resulting in the ant colony optimization algorithm (ACO), a major advance in the ...

In ant colony optimization, just as in nature, individual ants start by wondering about randomly until one of them eventually finds food for the colony and, on its way back, ...

That’s why computer scientist Marco Dorigo studied the creatures’ behavior, and created his Ant Colony Optimization model – an algorithmic technique that can be applied to human endeavors ...

The behavior of ants forming nests and forming a route to the feeding ground is a computational problem of an algorithm that applies graph theory as an ' ant colony optimization problem '. ' Ants ...

Ant colony optimization has many applications in the real world. For example, virtual ants have help to improve vehicle and communications network routing.

Ant-colony optimization algorithm is an evolutionary learning algorithm which could be applied to solve the complex problems. Applying the idea of ant colony optimization into network ...

Everything in the ant hill seems to need the liquid secretions from members of the colony that are in their pupal stage. By Joshua Sokol Orli Snir, a biologist at the Rockefeller University in New ...

Species of ants that have different colony sizes also use other pheromones to send a variety of messages. “We think that in the wild, clonal raider ants usually have a colony size of just tens ...