G. Di Caro, M. Dorigo, AntNet: distributed stigmergetic control for communications networks, J. Artif. Intell. Res. 9 (1998) 317--365. Home/Search Document Details and Download
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Adaptive-SDR: Adaptive Swarm-based Distributed Routing - Kassabalidis El-Sharkawi.. (Correct)
....communication between ants, a phenomenon known as stigmergy. Its end effect is the manifestation of behavior far more complex than expected by such simple organisms. There already exist many successful adaptations of ant behavior to network control [1 11] with the most prominent being AntNet [2,3], and Ant based Control (ABC) 4] An overview of swarm based algorithms can be found in [12] The application of AntNet to a satellite network is discussed in [13] These and the other existing algorithms lack a number of important features, namely scalability, full utilization of the network ....
....all the neighbors of the nodes are included in the next hop list, while in the local routing table only the nodes that belong to the same colony are included as possible next hops. The probabilities of the routing tables are updated in a manner that borrows some features from the AntNet al..gorithm [2,3], while adding significant improvements. 1. At regular intervals, each node sends one local ant to every destination within the colony, and only one colony ant for each outside colony. 2. The local ants choose next hops according to the local table probabilities, while the colony ants choose ....
G. Di Caro and M. Dorigo, "AntNet: distributed stigmergetic control for communications networks," Journal of Artificial Intelligence Research, vol. 9, pp. 317-365, 1998.
Query Localization Using Pheromone Trails: A Swarm.. - Kothari, Bhandari.. (2003) (Correct)
....is dependent on the trail strength (pheromone concentration) With each successful round trip to the food source by an ant, the trail becomes stronger, and more and more ants get attracted towards the source. This paradigm has been widely used in the design of agentbased routing protocols, as in [4]. 4. USING PHEROMONE TRAILS FOR REQUEST ZONE DETERMINATION We propose a definition of P old that captures in a more complete fashion the past routing history of the network. The definition takes inspiration from the pheromone trails laid down by ants. We utilize a mechanism inspired by ....
G. Di Caro and M. Dorigo, "Antnet: distributed stigmergetic control for communications networks," Journal of Artificial Intelligence Research, vol. 9, 1998.
Ant Algorithms for Discrete Optimization - Dorigo, Di Caro, Gambardella (1998) (64 citations) Self-citation (Di caro Dorigo) (Correct)
.... procedures (see for example [37, 50, 92] while, so far, only Michel and Middendorf [76] have used a simple one step lookahead function and there are no examples of backtracking procedures added to the basic ant capabilities, except for simple recovery procedures used by Di Caro and Dorigo [26, 28]. In the following section we will show how arti cial ants can be put to work in an algorithmic framework so that they can be applied to discrete optimization problems. In reality, some real ants have a similar behavior: they deposit more pheromone in case of richer food sources. Usually, ....
.... Schoonderwoerd, Holland, 1996 [87, 86] ABC network routing Bruten Rothkrantz White, Pagurek Oppacher 1998 [100] ASGA Di Caro Dorigo 1998 [31] AntNet FS Bonabeau, Henaux, Gu erin, 1998 [6] ABC smart ants Snyers, Kuntz Th eraulaz Connection less Di Caro Dorigo 1997 [26, 28, 32] AntNet AntNet FA network routing Subramanian, Druschel Chen 1997 [95] Regular ants Heusse, Gu erin, Snyers Kuntz 1998 [62] CAF van der Put Rothkrantz 1998 [97, 98] ABC backward algorithms for static combinatorial optimization the way ants update pheromone trails changes across ....
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G. Di Caro and M. Dorigo. AntNet: Distributed stigmergetic control for communications networks. Journal of Arti cial Intelligence Research (JAIR), 9:317-365, December 1998.
AntNet combined to Stochastic Estimator Learning Automata.. - Di Caro, Vasilakos (2000) Self-citation (Di caro) (Correct)
....nite time horizon while respecting all the associated QoS constraints. In this work we use two sets of non homogeneous RL agents to adaptively learn routing tables in QoS ATM networks with variable bit rate (VBR) trac. We combine a system of mobile agents derived from the routing algorithm AntNet [2, 3] together with SELA routing [1] a system of distributed stochastic estimator learning automata (SELA [9] The AntNet s agents There is an extensive literature on QoS, considered the central role it will play in integrated service network systems. A good introduction and discussion of current ....
G. Di Caro and M. Dorigo. AntNet: Distributed stigmergetic control for communications networks. Journal of Arti cial Intelligence Research (JAIR), 9:317-365, 1998.
The Ant Colony Optimization Meta-Heuristic - Dorigo, Di Caro (1999) (92 citations) Self-citation (Di caro Dorigo) (Correct)
....impose to solve the problem in a distributed way. The chapters 3, 4, and 5 of this book illustrate further applications of the ACO metaheuristic to problems falling in the rst of the two above classes, while further and more detailed examples of applications to adaptive routing can be found in [13, 15, 45, 51]. 2.4 ACO for the traveling salesman problem 2.4.1 The traveling salesman problem The traveling salesman problem (TSP) plays an important role in ant colony optimization because it was the rst problem to be attacked by these methods (see [16, 21, 22] The TSP was chosen for many reasons: i) ....
....they depend on the connection s physical properties and on the trac crossing the connection, that interacts recursively with the routing decisions. In the following subsection we present S AntNet, a simpli ed version of the AntNet al..gorithm. A detailed description of AntNet can be found in [13], while a more performing extension of it is described in [15] 2.5.2 S AntNet In S AntNet, each ant searches for a minimum cost path between a pair of nodes of the network. Ants are launched from each network node towards destination nodes randomly selected to match the trac patterns. Each ant ....
[Article contains additional citation context not shown here]
G. Di Caro and M. Dorigo. AntNet: Distributed stigmergetic control for communications networks. Journal of Arti cial Intelligence Research (JAIR), 9:317-365, December 1998.
Adding More Intelligence to the Network Routing Problem: - Antnet And Ga-Agents (Correct)
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G. Di Caro, M. Dorigo, AntNet: distributed stigmergetic control for communications networks, J. Artif. Intell. Res. 9 (1998) 317--365.
Benefits of Bio-inspired Technologies for Networked Embedded.. - Dressler (2006) (Correct)
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Adaptive Web Search Based on a Colony of Cooperative.. - Gasparetti, Micarelli (2003) (Correct)
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Di Caro, G., Dorigo, M.: AntNet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, Vol. 9 (1998) 317--365.
Provably Secure Competitive Routing against Proactive.. - Awerbuch, Holmer, Rubens (2003) (Correct)
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Gianni Di Caro and Marco Dorigo. Antnet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 9:317--365, 1998.
Provably Competitive Adaptive Routing - Awerbuch, Holmer, Rubens, al. (2005) (Correct)
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Gianni Di Caro and Marco Dorigo. Antnet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 9:317--365, 1998.
Swarm Intelligence Routing Resilient to Byzantine Adversaries - Awerbuch, Holmer, Rubens (2004) (Correct)
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Gianni Di Caro and Marco Dorigo. Antnet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 9:317--365, 1998.
A Probabilistic Emergent Routing Algorithm for Mobile Ad Hoc.. - Baras, Mehta (2003) (2 citations) (Correct)
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G. DiCaro and M. Dorigo, "AntNet: Distributed Stigmergetic Control for Communication Networks", Journal of Artificial Intelligence Research, vol. 9, pp. 317-365, 1998.
Reinforcing Reachable Routes - Varadarajan, Ramakrishnan.. (2003) (1 citation) (Correct)
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G. Di Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research, Vol. 9:pages 317--365, 1998.
Applying Ant Algorithms and the No Fit Polygon to the - Nesting Problem Edmund (Correct)
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Di Caro G. & Dorigo M. (1998). AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research (JAIR), 9:317-365.
Accelerated Ants Routing in Dynamic Networks - Hiroshi Matsuo Kouichi (2001) (3 citations) (Correct)
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Di Caro, G. and Dorigo, M. "AntNet: Distributed Stigmergetic Control for Communications Networks", Journal of Artificial Intelligence Research, Vol. 9,
MESHMdl - A Middleware for Self-Organization in Ad hoc Networks - Herrmann (2003) (4 citations) (Correct)
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G. Di Caro and M. Dorigo, "AntNet: Distributed Stigmergetic Control for Communications Networks," Journal of Artificial Intelligence Research, vol. 9, pp. 317--365, 1998.
Boosting Stochastic Problem Solvers through Online Self-Analysis .. - Cicirello (2003) (Correct)
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G. Di Caro and M. Dorigo. AntNet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 9:317--365, 1998.
Provably Secure Competitive Routing against Proactive.. - Awerbuch, Holmer, Rubens (2003) (Correct)
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Gianni Di Caro and Marco Dorigo. Antnet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 9:317--365, 1998.
A Parallel Architecture for Solving Constraint.. - Mendes, Pereira, Neves (2001) (Correct)
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G. Di Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research (JAIR), 6:791--812, dec 1998.
Swarm Intelligence Routing Resilient to Byzantine Adversaries - Awerbuch, Holmer, Rubens (2004) (Correct)
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Gianni Di Caro and Marco Dorigo. Antnet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 9:317--365, 1998.
Adaptiveness in Linda-based Coordination Models - Menezes, Tolksdorf (2003) (Correct)
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Gianni Di Caro and Marco Dorigo. Antnet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 9:317--365, 1998.
Ant Colony Optimization - Maniezzo, Gambardella, de Luigi (2004) (3 citations) (Correct)
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G. di Caro and M. Dorigo, AntNet: distributed stigmergetic control for communications network , Journal of Artificial Intelligence Research (JAIR), Vol. 9, Pag. 317365, 1998 18
Ant Colony Optimization - Maniezzo, Gambardella, de Luigi (2004) (3 citations) (Correct)
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G. di Caro and M. Dorigo, Antnet: distributed stigmergetic control for commun ications networks, Journal of Artificial Intelligence Research, 9 (1998), 317-365.
An Annotated Bibliography of Mobile Agents in Networks - Sriraman (2002) (Correct)
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Gianni Di Caro and Marco Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research, 9:317--365, 1998.
A Review on the Ant Colony Optimization Metaheuristic.. - Cordon, Herrera, Stützle (2002) (Correct)
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G. Di Caro and M. Dorigo. AntNet: Distributed stigmergetic control for communications networks. Journal of Arti cial Intelligence Research, 9:317{ 365, 1998.
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