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AUSAI
2005
Springer
13 years 6 months ago
Understanding the Pheromone System Within Ant Colony Optimization
Abstract. Ant Colony Optimization (ACO) is a collection of metaheuristics inspired by foraging in ant colonies, whose aim is to solve combinatorial optimization problems. We identi...
Stephen Gilmour, Mark Dras
ANTSW
2006
Springer
13 years 8 months ago
On the Invariance of Ant System
It is often believed that the performance of ant system, and in general of ant colony optimization algorithms, depends somehow on the scale of the problem instance at hand. The iss...
Mauro Birattari, Paola Pellegrini, Marco Dorigo
ACMDIS
2010
ACM
13 years 4 months ago
LumiBots: making emergence graspable in a swarm of robots
Emergence is a concept that is not easy to grasp, since it contradicts our idea of central control and planning. In this work, we use a swarm of robots as a tangible tool to visua...
Mey Lean Kronemann, Verena Vanessa Hafner
ALIFE
2002
13 years 4 months ago
Ant Colony Optimization and Stochastic Gradient Descent
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...
Nicolas Meuleau, Marco Dorigo
GECCO
2003
Springer
142views Optimization» more  GECCO 2003»
13 years 9 months ago
Revisiting Elitism in Ant Colony Optimization
Ant Colony Optimization (ACO) has been applied successfully in solving the Traveling Salesman Problem. Marco Dorigo et al. used Ant System (AS) to explore the Symmetric Traveling S...
Tony White, Simon Kaegi, Terri Oda