Output details
11 - Computer Science and Informatics
Middlesex University
A quickly convergent continuous ant colony optimization algorithm with Scout Ants
<22>Ant Colony Optimization (ACO) is an active research topic in Genetic Algorithms. Many existing variants of ACO algorithms suffer either optimization inaccuracy or slow speed. This paper proposed, for the first time, a novel collaborative approach between scout and foraging ants to search for a global optimal solution to function optimization problems. The numerical experiments show that the new method has a much better optimization accuracy, and is up to one hundred times faster in simulation speed than almost all existing variants of ACO algorithms. This work was funded by the grants from the China National Science Foundation.