@inproceedings{ac117210af8b4c25a69d3eb810027e08,
title = "Intelligent agent enabled genetic ant algorithm for P2P resource discovery",
abstract = "Rapid resource discovery in P2P networks is a challenging problem because users search for different resources at different times, and, nodes and their resources can vary dynamically as nodes join and leave the network. Traditional resource discovery techniques such as flooding generate enormous amounts of traffic, while improved P2P resource discovery mechanisms such as distributed hash tables(DHT) introduce additional overhead for maintaining content hashes on different nodes. In contrast, self-adaptive systems such as ant algorithms provide a suitable paradigm for controlled dissemination of P2P query messages. In this paper, we describe an evolutionary ant algorithm for rapidly discovering resources in a P2P network.",
keywords = "Adaptive systems, Ant algorithm, Genetic algorithm, Peer-to-peer systems, Software agents",
author = "Prithviraj Dasgupta",
year = "2005",
doi = "10.1007/11574781_20",
language = "English (US)",
isbn = "3540297553",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "213--220",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "Third International Workshop on Agents and Peer-to-Peer Computing, AP2PC 2004 ; Conference date: 19-07-2004 Through 19-07-2004",
}