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FGCS
2000
145views more  FGCS 2000»
13 years 5 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 5 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 5 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 5 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
13 years 10 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
13 years 11 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 6 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