document: Ant colony optimization and stochastic gradient descent We study the relationship between the two techniques known as ant colony optimization -LRB- ACO -RRB- and stochastic gradient descent . More precisely , we show that some empirical ACO algorithms approximate stochastic gradient descent in the space of pheromones , and we propose an implementation of stochastic gradient descent that belongs to the family of ACO algorithms . We then use this insight to explore the mutual contributions of the two techniques
doc_bio_tags: B I I O B I I O O O O O O O O O O B I I O O O O B I I O O O O O O O O B I I O B I I O O O O B O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O