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 ...

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

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

ABSTRACT Growing concerns about the environment, energy dependency, and the unstable fuel prices have increased the sales of electric vehicles. Energy-efficient routing for electric vehicles requires ...

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 '.

Evolutionary optimization is more than ant-colony optimization algorithms (ACO), bee-colony optimization algorithms (BCO) or particle-swarm optimization (PSO).