Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
448,361
The ant colony optimization meta-heuristic
- in New Ideas in Optimization
, 1999
"... Ant algorithms are multi-agent systems in which the behavior of each single agent, called artificial ant or ant for short in the following, is inspired by the behavior of real ants. Ant algorithms are one of the most successful examples of swarm intelligent systems [3], and have been applied to many ..."
Abstract
-
Cited by 385 (23 self)
- Add to MetaCart
Ant algorithms are multi-agent systems in which the behavior of each single agent, called artificial ant or ant for short in the following, is inspired by the behavior of real ants. Ant algorithms are one of the most successful examples of swarm intelligent systems [3], and have been applied
Distributed Optimization by Ant Colonies
, 1991
"... Ants colonies exhibit very interesting behaviours: even if a single ant only has simple capabilities, the behaviour of a whole ant colony is highly structured. This is the result of coordinated interactions. But, as communication possibilities among ants are very limited, interactions must be based ..."
Abstract
-
Cited by 324 (22 self)
- Add to MetaCart
of interest is how almost blind animals manage to establish shortest route paths from their colony to feeding sources and back. In the case of ants, the media used to communicate among individuals information regarding paths and used to decide where to go consists of pheromone trails. A moving ant lays some
The Ant System: Optimization by a colony of cooperating agents
- IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS-PART B
, 1996
"... An analogy with the way ant colonies function has suggested the definition of a new computational paradigm, which we call Ant System. We propose it as a viable new approach to stochastic combinatorial optimization. The main characteristics of this model are positive feedback, distributed computation ..."
Abstract
-
Cited by 1241 (45 self)
- Add to MetaCart
An analogy with the way ant colonies function has suggested the definition of a new computational paradigm, which we call Ant System. We propose it as a viable new approach to stochastic combinatorial optimization. The main characteristics of this model are positive feedback, distributed
Multi-Level Ant Colony Algorithm for Optimal Placement of Capacitors in Distribution Systems
"... Absfrocl-In this paper, an ant colony algorithm is proposed to determine the optimal locations and ratings of capacitors io B distribution network far reactive power compensation. The approach is multilevel. Two separate tables of pheromones PTO maintained by the algorithm. Ants generate solution st ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
Absfrocl-In this paper, an ant colony algorithm is proposed to determine the optimal locations and ratings of capacitors io B distribution network far reactive power compensation. The approach is multilevel. Two separate tables of pheromones PTO maintained by the algorithm. Ants generate solution
AntNet: Distributed stigmergetic control for communications networks
- Journal of Artificial Intelligence Research
, 1998
"... This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo system that was inspired by recent work on the ant colony metaphor for solving optimization problems. AntNet's agents co ..."
Abstract
-
Cited by 333 (29 self)
- Add to MetaCart
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo system that was inspired by recent work on the ant colony metaphor for solving optimization problems. AntNet's agents
Pheromone Evaluation in Ant Colony Optimization
- Proceeding of the Third AsiaPaci c Conference on Simulated Evolution and Learning (SEAL2000
, 2000
"... In Ant Colony Optimization (ACO) artificial ants communicate by laying synthetic pheromone along the edges on their path through a decision graph. This attracts following ants so that they will likely search in the same region of the search space. The problem of how the pheromone information should ..."
Abstract
-
Cited by 3 (2 self)
- Add to MetaCart
In Ant Colony Optimization (ACO) artificial ants communicate by laying synthetic pheromone along the edges on their path through a decision graph. This attracts following ants so that they will likely search in the same region of the search space. The problem of how the pheromone information should
Managing Update Conflicts in Bayou, a Weakly Connected Replicated Storage System
- In Proceedings of the Fifteenth ACM Symposium on Operating Systems Principles
, 1995
"... Bayou is a replicated, weakly consistent storage system designed for a mobile computing environment that includes portable machines with less than ideal network connectivity. To maximize availability, users can read and write any accessible replica. Bayou's design has focused on supporting apph ..."
Abstract
-
Cited by 506 (14 self)
- Add to MetaCart
apphcation-specific mechanisms to detect and resolve the update conflicts that naturally arise in such a system, ensuring that replicas move towards eventual consistency, and defining a protocol by which the resolution of update conflicts stabilizes. It includes novel methods for conflict detection, called
Results 1 - 10
of
448,361
