Paper Info
Title
A Genetic Approach For Long Term Virtual Organization Distribution
Abstract
An agent-based Virtual Organization is a complex entity where dynamic collections of agents agree to share resources in order to accomplish a global goal or offer a comp lex service. An important problem for the performance of the Virtual Organization is the distribution of the agents across the computational resources. The final distribution should provide a good load balancing for the organization. In this article, a genetic algorithm is applied to calculate a proper distribution across hosts in an agent-based Virtual Organization. Additionally ,an abstract multi-agent system architecture which provides infrastructure for Virtual Organization distribution is introduced. The developed genetic solution employs an elitist crossover operator where one of the children inherits the most promising genetic material from the parents with higher probability. In order to validate the genetic proposal, the designed genetic algorithm has been successfully compared to several heuristics in different scenarios.
Year
DOI
Venue
2011
10.1142/S0218213011000152
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS
Keywords
Field
DocType
Virtual organizations, genetic algorithms, multi-agent systems
Intelligent agent,Crossover,Load balancing (computing),Computer science,Multi-agent system,Heuristics,Artificial intelligence,Systems architecture,Genetic algorithm,Machine learning,Virtual organization
Journal
Volume
Issue
ISSN
20
2
0218-2130
Citations 
PageRank 
References 
1
0.35
16
Authors
3
Name
Order
Citations
PageRank
Victor Sanchez-Anguix110214.87
Soledad Valero2294.11
Ana García-fornes334944.07