The application of metaheuristic algorithms to combinatorial optimization problems is on the
rise and is growing rapidly now than ever before. In this paper the historical context and the …

The purpose of this chapter is to present a comprehensive grasp of ant colony optimization
(ACO) algorithms and how they are used to advance intelligent systems. It provides …

Nowadays, there is an increasing dependence on metaheuristic algorithms for solving
combinatorial optimization problems. This paper discusses various metaheuristic algorithms …

The paper presents and compares two algorithms inspired by nature-genetic and ant. They
were applied to the problem of determining the optimal route. After the implementation of the …

The use of modern achievements of artificial intelligence in the creation of innovative
information forecasting technologies is an urgent task. The article is devoted to the …

Inspired from the fact that the real world ants from within a colony are not clones (although
they may look alike, they are different from one another), in this paper, the authors are …

Ant colony optimization is a successful swarm intelligence method for solving various
combinatorial optimization problems. It uses a population-based meta-heuristic that is based …

In general, a distributed mass storage system is composed of a large number of computing
nodes and storage nodes, allowing users to access resources transparently, without …

Web services have become an integral part of any web based application, due to their
availability and ease of use. As the number of web services start increasing uncertainty …

Measuring the diversity in evolutionary algorithms that work in real-value search spaces is
often computationally complex, but it is feasible; however, measuring the diversity in …