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 …

Ants colonies exhibit very interesting behaviours: even if a single ant only has simple
capabilities, the behaviour of a whole ant colony is highly structured. This is the result of …

This paper reviews the theory and applications of ant algorithms, new methods of discrete
optimization based on the simulation of self-organized colony of biologic ants. The colony …

ANT COLONY optimization (ACO) is part of a larger field of research termed ant algorithms
or swarm intelligence that deals with algorithmic approaches that are inspired by the …

Ant colony algorithms are a class of metaheuristics which are inspired from the behavior of
real ants. The original idea consisted in simulating the stigmergic communication, therefore …

A swarm is a large number of homogenous, simple agents interacting locally among
themselves, and their environment, with no central control to allow a global interesting …

In ant societies, and, more in general, in insect societies, the activities of the individuals, as
well as of the society as a whole, are not regulated by any explicit form of centralized control …

We have used the metaphor of ant colonies to define" the Ant system", a class of distributed
algorithms for combinatorial optimization. To test the Ant system we used the travelling …

ANTS–The International Workshop on Ant Colony Optimization and Swarm Intelligence is
now at its? fth edition. The series started in 1998 with the-ganization of ANTS 1998. At that …

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 …