AntStar: Enhancing Optimization Problems by Integrating an Ant System and A ⁎ Algorithm

Abstract EN

Recently, nature-inspired techniques have become valuable to many intelligent systems in different fields of technology and science.

Among these techniques, Ant Systems (AS) have become a valuable technique for intelligent systems in different fields.

AS is a computational system inspired by the foraging behavior of ants and intended to solve practical optimization problems.

In this paper, we introduce the AntStar algorithm, which is swarm intelligence based.

AntStar enhances the optimization and performance of an AS by integrating the AS and A ⁎ algorithm.

Applying the AntStar algorithm to the single-source shortest-path problem has been done to ensure the efficiency of the proposed AntStar algorithm.

The experimental result of the proposed algorithm illustrated the robustness and accuracy of the AntStar algorithm.