In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Our discussion in this article centers on the application of ant algorithms to the non-bifurcated multicommodity flow problem. We propose a general framework of ant algorithm that...
Ant Colony Optimization is an evolutionary method that has recently been applied to scheduling problems. We propose an ACO algorithm for the Single Machine Total Weighted Tardiness...
Abstract- Ant algorithms have generated significant research interest within the search/optimisation community in recent years. Hyperheuristic research is concerned with the devel...
Edmund K. Burke, Graham Kendall, Dario Landa Silva...