The Ant Colony Optimization (ACO) algorithm is a metaheuristic nature-inspired technique for solving various combinatorial optimization problems. The shortest-path problem is an important ...

Scientists found that ants and other natural systems use optimization algorithms similar to those used by engineered systems, including the Internet.

However, there is still not much discussion on the use of metaheuristic algorithms for workflow analyses. This paper proposes the use of a systematic approach that entails the ant colony optimization ...

Ant-colony optimization algorithm is an evolutionary learning algorithm which could be applied to solve the complex problems.

The behavior of ants forming nests and forming a route to the feeding ground is a computational problem of an algorithm that applies graph theory as an ' ant colony optimization problem '.