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 …

Particle Swarm Optimisers are inherently distributed algorithms where the solution for a
problem emerges from the interactions between many simple individual agents called …

In this paper a new algorithm for edge detection using ant colony search is proposed. The
problem is represented by a directed graph in which nodes are the pixels of an image. To …

Recent computational developments in ant colony systems have proved fruitful for
transforming discrete domains of application into continuous ones. In this paper, new …

Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied
successfully to combinatorial optimization problems. More recently, Parpinelli and …

The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …

This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …

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 …

Feature selection (FS) is one of the most important fields in pattern recognition, which aims
to pick a subset of relevant and informative features from an original feature set. There are …

In an emergency evacuation operation, accurate classification of the evacuee population
can provide important information to support the responders in decision making; and …