The Ant Colony Optimization (ACO) algorithms have been well‐studied by the Operations
Research community for solving combinatorial optimization problems. A handful of …

This paper proposes PSACO (particle swarm ant colony optimization) algorithm for highly
non-convex optimization problems. Both particle swarm optimization (PSO) and ant colony …

This chapter presents the biological motivation and some of the theoretical concepts of
swarm intelligence with an emphasis on particle swarm optimization and ant colony …

We review the applications of artificial life (ALife), the creation of synthetic life on computers
to study, simulate, and understand living systems. The definition and features of ALife are …

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 paper presents an Artificial Bee Colony (ABC) optimization based algorithm for co-
clustering of high-dimensional data. The ABC algorithm is used for optimization problems …

The travelling salesman problem with time windows (TSPTW) involves finding the minimum
cost tour in which all cities are visited exactly once within their requested time windows. This …

Rotating machinery is ubiquitous, and its failures constitute a major cause of the failures of
transportation infrastructures. Most fault-diagnosis methods for rotating machinery are based …

Spam is defined as junk and unwanted e-mail. The implementation of a reliable spam email
filter becomes more and more important for e-mail users since they have to face with the …

Financial decisions are often based on classification models which are used to assign a set
of observations into predefined groups. Such models ought to be as accurate as possible …