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FGCS
2000
145views more  FGCS 2000»
13 years 9 months ago
Ant algorithms and stigmergy
Ant colonies, and more generally social insect societies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organiz...
Marco Dorigo, Eric Bonabeau, Guy Theraulaz
CORR
2004
Springer
180views Education» more  CORR 2004»
13 years 9 months ago
Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
Vitorino Ramos, Juan J. Merelo Guervós
JSW
2007
118views more  JSW 2007»
13 years 9 months ago
A New Formalism for Failure Diagnosis: Ant Colony Decision Petri Nets
— Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A clas...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...
AEI
2004
150views more  AEI 2004»
13 years 9 months ago
Ant colony optimization techniques for the vehicle routing problem
This research applies the meta-heuristic method of ant colony optimization (ACO) to an established set of vehicle routing problems (VRP). The procedure simulates the decision-maki...
John E. Bell, Patrick R. McMullen
IPPS
1999
IEEE
14 years 1 months ago
Parallel Ant Colonies for Combinatorial Optimization Problems
Abstract. Ant Colonies AC optimization take inspiration from the behavior of real ant colonies to solve optimization problems. This paper presents a parallel model for ant colonies...
El-Ghazali Talbi, Olivier Roux, Cyril Fonlupt, Den...
IEEEARES
2006
IEEE
14 years 3 months ago
Diagnosis of Complex Systems Using Ant Colony Decision Petri Nets
Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...
ICML
1995
IEEE
14 years 10 months ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo