This article presents an overview of recent work on ant algorithms, that is, algorithms for
discrete optimization that took inspiration from the observation of ant colonies' foraging …

Conclusions The field of ACO algorithms is very lively, as testified, for example, by the
successful biannual workshop (ANTS—From Ant Colonies to Artificial Ants: A Series of …

Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving
systems with sophisticated collective intelligence. Composed of simple interacting agents …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

Ant colonies, and more generally social insect societies, are distributed systems that, in spite
of the simplicity of their individuals, present a highly structured social organization. As a …

Research in social insect behaviour has provided computer scientists with powerful methods
for designing distributed control and optimization algorithms. These techniques are being …

Although an ant is a simple creature, collectively a colony of ants performs useful tasks such
as finding the shortest path to a food source and sharing this information with other ants by …

Many of the collective activities performed by social insects result in the formation of complex
spatio–temporal patterns. Without centralized control, workers are able to work together and …

Swarm intelligence, as demonstrated by natural biological swarms, exhibits numerous
powerful features that are desirable in many engineering systems, such as communication …

Mobile ad hoc networks are infrastructure-less networks consisting of wireless, possibly
mobile nodes which are organized in peer-to-peer and autonomous fashion. The highly …