AntNet: Distributed Stigmergetic Control for Communications Networks

@article{citeulike:824876, abstract = {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 concurrently explore the network and exchange collected information. The communication among the agents is indirect and asynchronous, mediated by the network itself. This form of communication is typical of ...}, author = {Di Caro, Gianni and Dorigo, Marco }, citeulike-article-id = {824876}, journal = {Journal of Artificial Intelligence Research}, keywords = {ant-colony-optimization, metaheuristic, network, routing}, pages = {317--365}, posted-at = {2008-04-04 18:07:22}, priority = {2}, title = {AntNet: Distributed Stigmergetic Control for Communications Networks}, url = {http://citeseer.ist.psu.edu/dicaro98antnet.html}, volume = {9}, year = {1998} }

TY - JOUR ID - citeulike:824876 L3 - citeulike-article-id:824876 TI - AntNet: Distributed Stigmergetic Control for Communications Networks JF - Journal of Artificial Intelligence Research VL - 9 SP - 317 EP - 365 N2 - 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 concurrently explore the network and exchange collected information. The communication among the agents is indirect and asynchronous, mediated by the network itself. This form of communication is typical of ... KW - ant-colony-optimization KW - metaheuristic KW - network KW - routing AU - Di Caro, Gianni AU - Dorigo, Marco PY - 1998/// UR - http://citeseer.ist.psu.edu/dicaro98antnet.html ER -